{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "hawaiian-comment",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 240,
   "id": "eleven-shift",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>班级</th>\n",
       "      <th>性别</th>\n",
       "      <th>男1000米跑</th>\n",
       "      <th>男50米跑</th>\n",
       "      <th>男跳远</th>\n",
       "      <th>男体前屈</th>\n",
       "      <th>男引体</th>\n",
       "      <th>男肺活量</th>\n",
       "      <th>身高</th>\n",
       "      <th>体重</th>\n",
       "      <th>BMI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4'13</td>\n",
       "      <td>8.88</td>\n",
       "      <td>195.0</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>2785</td>\n",
       "      <td>170.0</td>\n",
       "      <td>72.6</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4'16</td>\n",
       "      <td>7.70</td>\n",
       "      <td>225.0</td>\n",
       "      <td>11</td>\n",
       "      <td>7</td>\n",
       "      <td>3133</td>\n",
       "      <td>174.0</td>\n",
       "      <td>52.7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4'09</td>\n",
       "      <td>8.45</td>\n",
       "      <td>218.0</td>\n",
       "      <td>14</td>\n",
       "      <td>1</td>\n",
       "      <td>3901</td>\n",
       "      <td>169.0</td>\n",
       "      <td>46.5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4'21</td>\n",
       "      <td>8.05</td>\n",
       "      <td>206.0</td>\n",
       "      <td>13</td>\n",
       "      <td>1</td>\n",
       "      <td>4946</td>\n",
       "      <td>183.0</td>\n",
       "      <td>79.7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>3'44</td>\n",
       "      <td>7.52</td>\n",
       "      <td>210.0</td>\n",
       "      <td>13</td>\n",
       "      <td>9</td>\n",
       "      <td>3538</td>\n",
       "      <td>171.0</td>\n",
       "      <td>54.7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>3'49</td>\n",
       "      <td>7.94</td>\n",
       "      <td>190.0</td>\n",
       "      <td>20</td>\n",
       "      <td>7</td>\n",
       "      <td>3970</td>\n",
       "      <td>175.0</td>\n",
       "      <td>66.4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>3'54</td>\n",
       "      <td>7.75</td>\n",
       "      <td>186.0</td>\n",
       "      <td>11</td>\n",
       "      <td>7</td>\n",
       "      <td>3710</td>\n",
       "      <td>173.0</td>\n",
       "      <td>53.9</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4'3</td>\n",
       "      <td>8.06</td>\n",
       "      <td>195.0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>5578</td>\n",
       "      <td>178.0</td>\n",
       "      <td>83.1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4'01</td>\n",
       "      <td>7.75</td>\n",
       "      <td>220.0</td>\n",
       "      <td>15</td>\n",
       "      <td>10</td>\n",
       "      <td>3821</td>\n",
       "      <td>175.0</td>\n",
       "      <td>66.5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4'12</td>\n",
       "      <td>7.38</td>\n",
       "      <td>245.0</td>\n",
       "      <td>17</td>\n",
       "      <td>11</td>\n",
       "      <td>4423</td>\n",
       "      <td>167.0</td>\n",
       "      <td>53.9</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4</td>\n",
       "      <td>7.82</td>\n",
       "      <td>219.0</td>\n",
       "      <td>13</td>\n",
       "      <td>11</td>\n",
       "      <td>4031</td>\n",
       "      <td>173.0</td>\n",
       "      <td>57.4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4'13</td>\n",
       "      <td>7.37</td>\n",
       "      <td>228.0</td>\n",
       "      <td>9</td>\n",
       "      <td>15</td>\n",
       "      <td>4354</td>\n",
       "      <td>163.0</td>\n",
       "      <td>54.6</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>3'45</td>\n",
       "      <td>7.66</td>\n",
       "      <td>202.0</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>2238</td>\n",
       "      <td>179.0</td>\n",
       "      <td>61.1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>3'46</td>\n",
       "      <td>7.66</td>\n",
       "      <td>245.0</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>4811</td>\n",
       "      <td>177.0</td>\n",
       "      <td>63.9</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>3'57</td>\n",
       "      <td>7.60</td>\n",
       "      <td>192.0</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>4147</td>\n",
       "      <td>174.0</td>\n",
       "      <td>59.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4'18</td>\n",
       "      <td>8.14</td>\n",
       "      <td>210.0</td>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "      <td>4241</td>\n",
       "      <td>179.0</td>\n",
       "      <td>61.9</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>3'32</td>\n",
       "      <td>7.20</td>\n",
       "      <td>255.0</td>\n",
       "      <td>22</td>\n",
       "      <td>12</td>\n",
       "      <td>5324</td>\n",
       "      <td>183.0</td>\n",
       "      <td>63.4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>3'56</td>\n",
       "      <td>8.15</td>\n",
       "      <td>207.0</td>\n",
       "      <td>13</td>\n",
       "      <td>12</td>\n",
       "      <td>4363</td>\n",
       "      <td>173.0</td>\n",
       "      <td>60.5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>3'47</td>\n",
       "      <td>8.15</td>\n",
       "      <td>202.0</td>\n",
       "      <td>13</td>\n",
       "      <td>16</td>\n",
       "      <td>5364</td>\n",
       "      <td>174.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>3'53</td>\n",
       "      <td>7.85</td>\n",
       "      <td>210.0</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>3445</td>\n",
       "      <td>177.0</td>\n",
       "      <td>56.9</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>3'57</td>\n",
       "      <td>7.85</td>\n",
       "      <td>220.0</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "      <td>5670</td>\n",
       "      <td>177.0</td>\n",
       "      <td>55.5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>3'42</td>\n",
       "      <td>7.23</td>\n",
       "      <td>212.0</td>\n",
       "      <td>12</td>\n",
       "      <td>15</td>\n",
       "      <td>5709</td>\n",
       "      <td>185.0</td>\n",
       "      <td>72.3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4'3</td>\n",
       "      <td>7.68</td>\n",
       "      <td>218.0</td>\n",
       "      <td>15</td>\n",
       "      <td>3</td>\n",
       "      <td>4780</td>\n",
       "      <td>177.0</td>\n",
       "      <td>83.7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4'14</td>\n",
       "      <td>8.30</td>\n",
       "      <td>206.0</td>\n",
       "      <td>15</td>\n",
       "      <td>1</td>\n",
       "      <td>3358</td>\n",
       "      <td>173.0</td>\n",
       "      <td>46.6</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4'04</td>\n",
       "      <td>8.15</td>\n",
       "      <td>205.0</td>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "      <td>3494</td>\n",
       "      <td>169.0</td>\n",
       "      <td>48.3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4'04</td>\n",
       "      <td>7.55</td>\n",
       "      <td>190.0</td>\n",
       "      <td>12</td>\n",
       "      <td>5</td>\n",
       "      <td>3286</td>\n",
       "      <td>169.0</td>\n",
       "      <td>50.1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4'02</td>\n",
       "      <td>7.55</td>\n",
       "      <td>240.0</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>4483</td>\n",
       "      <td>171.0</td>\n",
       "      <td>58.4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>3'57</td>\n",
       "      <td>7.89</td>\n",
       "      <td>220.0</td>\n",
       "      <td>9</td>\n",
       "      <td>11</td>\n",
       "      <td>4254</td>\n",
       "      <td>166.0</td>\n",
       "      <td>54.8</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4'16</td>\n",
       "      <td>8.19</td>\n",
       "      <td>212.0</td>\n",
       "      <td>27</td>\n",
       "      <td>7</td>\n",
       "      <td>3498</td>\n",
       "      <td>169.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>447</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4'15</td>\n",
       "      <td>8.36</td>\n",
       "      <td>217.0</td>\n",
       "      <td>20</td>\n",
       "      <td>2</td>\n",
       "      <td>5452</td>\n",
       "      <td>175.0</td>\n",
       "      <td>83.4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>448</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4'36</td>\n",
       "      <td>7.22</td>\n",
       "      <td>267.0</td>\n",
       "      <td>6</td>\n",
       "      <td>11</td>\n",
       "      <td>5555</td>\n",
       "      <td>179.0</td>\n",
       "      <td>62.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>449</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>3'48</td>\n",
       "      <td>7.37</td>\n",
       "      <td>225.0</td>\n",
       "      <td>17</td>\n",
       "      <td>12</td>\n",
       "      <td>5519</td>\n",
       "      <td>176.0</td>\n",
       "      <td>62.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>450</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>3'58</td>\n",
       "      <td>7.37</td>\n",
       "      <td>236.0</td>\n",
       "      <td>12</td>\n",
       "      <td>11</td>\n",
       "      <td>4246</td>\n",
       "      <td>169.0</td>\n",
       "      <td>60.1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>451</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4'02</td>\n",
       "      <td>8.00</td>\n",
       "      <td>210.0</td>\n",
       "      <td>18</td>\n",
       "      <td>7</td>\n",
       "      <td>4034</td>\n",
       "      <td>167.0</td>\n",
       "      <td>56.8</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>452</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4'02</td>\n",
       "      <td>8.00</td>\n",
       "      <td>196.0</td>\n",
       "      <td>12</td>\n",
       "      <td>4</td>\n",
       "      <td>5738</td>\n",
       "      <td>172.0</td>\n",
       "      <td>66.5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>453</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4'38</td>\n",
       "      <td>8.09</td>\n",
       "      <td>223.0</td>\n",
       "      <td>21</td>\n",
       "      <td>8</td>\n",
       "      <td>5168</td>\n",
       "      <td>169.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>454</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>455</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4'2</td>\n",
       "      <td>8.37</td>\n",
       "      <td>208.0</td>\n",
       "      <td>21</td>\n",
       "      <td>8</td>\n",
       "      <td>5677</td>\n",
       "      <td>172.0</td>\n",
       "      <td>63.7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4'26</td>\n",
       "      <td>7.89</td>\n",
       "      <td>232.0</td>\n",
       "      <td>21</td>\n",
       "      <td>8</td>\n",
       "      <td>7052</td>\n",
       "      <td>180.0</td>\n",
       "      <td>82.9</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4'09</td>\n",
       "      <td>8.46</td>\n",
       "      <td>205.0</td>\n",
       "      <td>15</td>\n",
       "      <td>7</td>\n",
       "      <td>4208</td>\n",
       "      <td>171.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>458</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>3'49</td>\n",
       "      <td>7.66</td>\n",
       "      <td>232.0</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>5897</td>\n",
       "      <td>175.0</td>\n",
       "      <td>56.1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>459</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4'36</td>\n",
       "      <td>7.77</td>\n",
       "      <td>236.0</td>\n",
       "      <td>11</td>\n",
       "      <td>20</td>\n",
       "      <td>5158</td>\n",
       "      <td>176.0</td>\n",
       "      <td>55.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>460</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4'37</td>\n",
       "      <td>8.27</td>\n",
       "      <td>208.0</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>6311</td>\n",
       "      <td>177.0</td>\n",
       "      <td>95.6</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>461</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>3'44</td>\n",
       "      <td>8.27</td>\n",
       "      <td>217.0</td>\n",
       "      <td>15</td>\n",
       "      <td>7</td>\n",
       "      <td>5075</td>\n",
       "      <td>170.0</td>\n",
       "      <td>57.6</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>462</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>3'55</td>\n",
       "      <td>7.98</td>\n",
       "      <td>212.0</td>\n",
       "      <td>20</td>\n",
       "      <td>10</td>\n",
       "      <td>5564</td>\n",
       "      <td>168.0</td>\n",
       "      <td>54.5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>463</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>3'41</td>\n",
       "      <td>7.57</td>\n",
       "      <td>225.0</td>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "      <td>5599</td>\n",
       "      <td>181.0</td>\n",
       "      <td>74.8</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>464</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>5'29</td>\n",
       "      <td>9.02</td>\n",
       "      <td>210.0</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>6712</td>\n",
       "      <td>183.0</td>\n",
       "      <td>95.9</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>465</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4'11</td>\n",
       "      <td>7.51</td>\n",
       "      <td>238.0</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>5590</td>\n",
       "      <td>179.0</td>\n",
       "      <td>67.7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>466</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4'56</td>\n",
       "      <td>7.42</td>\n",
       "      <td>252.0</td>\n",
       "      <td>9</td>\n",
       "      <td>13</td>\n",
       "      <td>5159</td>\n",
       "      <td>180.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>467</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>3'54</td>\n",
       "      <td>7.96</td>\n",
       "      <td>229.0</td>\n",
       "      <td>14</td>\n",
       "      <td>9</td>\n",
       "      <td>5254</td>\n",
       "      <td>182.0</td>\n",
       "      <td>64.1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>468</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>469</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4'4</td>\n",
       "      <td>8.02</td>\n",
       "      <td>180.0</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>4592</td>\n",
       "      <td>187.0</td>\n",
       "      <td>64.6</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>470</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>3'54</td>\n",
       "      <td>7.51</td>\n",
       "      <td>238.0</td>\n",
       "      <td>13</td>\n",
       "      <td>11</td>\n",
       "      <td>5572</td>\n",
       "      <td>176.0</td>\n",
       "      <td>59.5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>471</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4'58</td>\n",
       "      <td>8.76</td>\n",
       "      <td>200.0</td>\n",
       "      <td>12</td>\n",
       "      <td>9</td>\n",
       "      <td>4533</td>\n",
       "      <td>169.0</td>\n",
       "      <td>51.3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>472</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4'23</td>\n",
       "      <td>8.27</td>\n",
       "      <td>208.0</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>4647</td>\n",
       "      <td>176.0</td>\n",
       "      <td>69.5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>473</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>5'19</td>\n",
       "      <td>9.55</td>\n",
       "      <td>210.0</td>\n",
       "      <td>15</td>\n",
       "      <td>6</td>\n",
       "      <td>7042</td>\n",
       "      <td>177.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>474</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>3'25</td>\n",
       "      <td>7.50</td>\n",
       "      <td>252.0</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>5755</td>\n",
       "      <td>181.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>475</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4'39</td>\n",
       "      <td>7.81</td>\n",
       "      <td>208.0</td>\n",
       "      <td>14</td>\n",
       "      <td>11</td>\n",
       "      <td>5688</td>\n",
       "      <td>172.0</td>\n",
       "      <td>51.7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>476</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>477 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     班级 性别 男1000米跑  男50米跑    男跳远  男体前屈  男引体  男肺活量     身高    体重  BMI\n",
       "0     1  男    4'13   8.88  195.0    12    1  2785  170.0  72.6    0\n",
       "1     1  男    4'16   7.70  225.0    11    7  3133  174.0  52.7    0\n",
       "2     1  男    4'09   8.45  218.0    14    1  3901  169.0  46.5    0\n",
       "3     1  男    4'21   8.05  206.0    13    1  4946  183.0  79.7    0\n",
       "4     1  男    3'44   7.52  210.0    13    9  3538  171.0  54.7    0\n",
       "5     1  男    3'49   7.94  190.0    20    7  3970  175.0  66.4    0\n",
       "6     1  男    3'54   7.75  186.0    11    7  3710  173.0  53.9    0\n",
       "7     1  男     4'3   8.06  195.0     3    1  5578  178.0  83.1    0\n",
       "8     1  男    4'01   7.75  220.0    15   10  3821  175.0  66.5    0\n",
       "9     1  男    4'12   7.38  245.0    17   11  4423  167.0  53.9    0\n",
       "10    1  男       4   7.82  219.0    13   11  4031  173.0  57.4    0\n",
       "11    1  男    4'13   7.37  228.0     9   15  4354  163.0  54.6    0\n",
       "12    1  男    3'45   7.66  202.0     7    3  2238  179.0  61.1    0\n",
       "13    1  男    3'46   7.66  245.0     3    7  4811  177.0  63.9    0\n",
       "14    1  男       0   0.00    0.0     0    0     0    0.0   0.0    0\n",
       "15    1  男    3'57   7.60  192.0     7    5  4147  174.0  59.2    0\n",
       "16    1  男    4'18   8.14  210.0     8    4  4241  179.0  61.9    0\n",
       "17    1  男    3'32   7.20  255.0    22   12  5324  183.0  63.4    0\n",
       "18    1  男    3'56   8.15  207.0    13   12  4363  173.0  60.5    0\n",
       "19    1  男    3'47   8.15  202.0    13   16  5364  174.0  56.0    0\n",
       "20    1  男    3'53   7.85  210.0     3    7  3445  177.0  56.9    0\n",
       "21    1  男    3'57   7.85  220.0     9    2  5670  177.0  55.5    0\n",
       "22    1  男    3'42   7.23  212.0    12   15  5709  185.0  72.3    0\n",
       "23    1  男     4'3   7.68  218.0    15    3  4780  177.0  83.7    0\n",
       "24    1  男    4'14   8.30  206.0    15    1  3358  173.0  46.6    0\n",
       "25    1  男    4'04   8.15  205.0     9    5  3494  169.0  48.3    0\n",
       "26    1  男    4'04   7.55  190.0    12    5  3286  169.0  50.1    0\n",
       "27    1  男    4'02   7.55  240.0     5   12  4483  171.0  58.4    0\n",
       "28    1  男    3'57   7.89  220.0     9   11  4254  166.0  54.8    0\n",
       "29    1  男    4'16   8.19  212.0    27    7  3498  169.0  68.0    0\n",
       "..   .. ..     ...    ...    ...   ...  ...   ...    ...   ...  ...\n",
       "447  17  男    4'15   8.36  217.0    20    2  5452  175.0  83.4    0\n",
       "448  17  男    4'36   7.22  267.0     6   11  5555  179.0  62.2    0\n",
       "449  17  男    3'48   7.37  225.0    17   12  5519  176.0  62.2    0\n",
       "450  17  男    3'58   7.37  236.0    12   11  4246  169.0  60.1    0\n",
       "451  17  男    4'02   8.00  210.0    18    7  4034  167.0  56.8    0\n",
       "452  17  男    4'02   8.00  196.0    12    4  5738  172.0  66.5    0\n",
       "453  17  男    4'38   8.09  223.0    21    8  5168  169.0  78.0    0\n",
       "454  17  男       0   0.00    0.0     0    0     0    0.0   0.0    0\n",
       "455  17  男     4'2   8.37  208.0    21    8  5677  172.0  63.7    0\n",
       "456  17  男    4'26   7.89  232.0    21    8  7052  180.0  82.9    0\n",
       "457  17  男    4'09   8.46  205.0    15    7  4208  171.0  61.0    0\n",
       "458  17  男    3'49   7.66  232.0    11   10  5897  175.0  56.1    0\n",
       "459  17  男    4'36   7.77  236.0    11   20  5158  176.0  55.2    0\n",
       "460  17  男    4'37   8.27  208.0    17    1  6311  177.0  95.6    0\n",
       "461  17  男    3'44   8.27  217.0    15    7  5075  170.0  57.6    0\n",
       "462  17  男    3'55   7.98  212.0    20   10  5564  168.0  54.5    0\n",
       "463  17  男    3'41   7.57  225.0     9    5  5599  181.0  74.8    0\n",
       "464  17  男    5'29   9.02  210.0    12    0  6712  183.0  95.9    0\n",
       "465  17  男    4'11   7.51  238.0    21   14  5590  179.0  67.7    0\n",
       "466  17  男    4'56   7.42  252.0     9   13  5159  180.0  70.0    0\n",
       "467  17  男    3'54   7.96  229.0    14    9  5254  182.0  64.1    0\n",
       "468  17  男       0   0.00    0.0     0    0     0    0.0   0.0    0\n",
       "469  17  男     4'4   8.02  180.0     8    1  4592  187.0  64.6    0\n",
       "470  17  男    3'54   7.51  238.0    13   11  5572  176.0  59.5    0\n",
       "471  17  男    4'58   8.76  200.0    12    9  4533  169.0  51.3    0\n",
       "472  17  男    4'23   8.27  208.0    10    0  4647  176.0  69.5    0\n",
       "473  17  男    5'19   9.55  210.0    15    6  7042  177.0  76.0    0\n",
       "474  17  男    3'25   7.50  252.0    13   13  5755  181.0  65.0    0\n",
       "475  17  男    4'39   7.81  208.0    14   11  5688  172.0  51.7    0\n",
       "476  17  男       0   0.00    0.0     0    0     0    0.0   0.0    0\n",
       "\n",
       "[477 rows x 11 columns]"
      ]
     },
     "execution_count": 240,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 1.数据加载\n",
    "df_male = pd.read_excel('./18级高一体测成绩汇总.xls')\n",
    "df_male"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 237,
   "id": "unexpected-assets",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>班级</th>\n",
       "      <th>性别</th>\n",
       "      <th>女800米跑</th>\n",
       "      <th>女50米跑</th>\n",
       "      <th>女跳远</th>\n",
       "      <th>女体前屈</th>\n",
       "      <th>女仰卧</th>\n",
       "      <th>女肺活量</th>\n",
       "      <th>身高</th>\n",
       "      <th>体重</th>\n",
       "      <th>BMI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.22</td>\n",
       "      <td>9.32</td>\n",
       "      <td>185.0</td>\n",
       "      <td>16</td>\n",
       "      <td>48</td>\n",
       "      <td>3775</td>\n",
       "      <td>163.0</td>\n",
       "      <td>51.3</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>4.59</td>\n",
       "      <td>11.44</td>\n",
       "      <td>148.0</td>\n",
       "      <td>9</td>\n",
       "      <td>29</td>\n",
       "      <td>3683</td>\n",
       "      <td>163.0</td>\n",
       "      <td>66.6</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.46</td>\n",
       "      <td>13.40</td>\n",
       "      <td>150.0</td>\n",
       "      <td>7</td>\n",
       "      <td>40</td>\n",
       "      <td>3331</td>\n",
       "      <td>157.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.39</td>\n",
       "      <td>9.52</td>\n",
       "      <td>172.0</td>\n",
       "      <td>21</td>\n",
       "      <td>46</td>\n",
       "      <td>3701</td>\n",
       "      <td>160.0</td>\n",
       "      <td>50.7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.43</td>\n",
       "      <td>9.79</td>\n",
       "      <td>145.0</td>\n",
       "      <td>8</td>\n",
       "      <td>34</td>\n",
       "      <td>3592</td>\n",
       "      <td>167.0</td>\n",
       "      <td>63.9</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.47</td>\n",
       "      <td>10.01</td>\n",
       "      <td>158.0</td>\n",
       "      <td>17</td>\n",
       "      <td>35</td>\n",
       "      <td>3483</td>\n",
       "      <td>170.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>4.69</td>\n",
       "      <td>10.42</td>\n",
       "      <td>150.0</td>\n",
       "      <td>18</td>\n",
       "      <td>32</td>\n",
       "      <td>3754</td>\n",
       "      <td>158.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>4.26</td>\n",
       "      <td>10.03</td>\n",
       "      <td>165.0</td>\n",
       "      <td>16</td>\n",
       "      <td>35</td>\n",
       "      <td>4520</td>\n",
       "      <td>160.0</td>\n",
       "      <td>48.5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.48</td>\n",
       "      <td>10.59</td>\n",
       "      <td>159.0</td>\n",
       "      <td>8</td>\n",
       "      <td>46</td>\n",
       "      <td>3662</td>\n",
       "      <td>160.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>4.18</td>\n",
       "      <td>10.30</td>\n",
       "      <td>161.0</td>\n",
       "      <td>22</td>\n",
       "      <td>42</td>\n",
       "      <td>3955</td>\n",
       "      <td>171.0</td>\n",
       "      <td>62.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.38</td>\n",
       "      <td>9.37</td>\n",
       "      <td>162.0</td>\n",
       "      <td>15</td>\n",
       "      <td>43</td>\n",
       "      <td>4374</td>\n",
       "      <td>157.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>4.11</td>\n",
       "      <td>10.68</td>\n",
       "      <td>150.0</td>\n",
       "      <td>15</td>\n",
       "      <td>45</td>\n",
       "      <td>4488</td>\n",
       "      <td>175.0</td>\n",
       "      <td>53.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.45</td>\n",
       "      <td>9.74</td>\n",
       "      <td>168.0</td>\n",
       "      <td>21</td>\n",
       "      <td>35</td>\n",
       "      <td>4176</td>\n",
       "      <td>164.0</td>\n",
       "      <td>49.5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.59</td>\n",
       "      <td>10.83</td>\n",
       "      <td>140.0</td>\n",
       "      <td>6</td>\n",
       "      <td>41</td>\n",
       "      <td>3497</td>\n",
       "      <td>159.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.32</td>\n",
       "      <td>10.25</td>\n",
       "      <td>167.0</td>\n",
       "      <td>19</td>\n",
       "      <td>31</td>\n",
       "      <td>4094</td>\n",
       "      <td>165.0</td>\n",
       "      <td>56.7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.40</td>\n",
       "      <td>10.25</td>\n",
       "      <td>152.0</td>\n",
       "      <td>21</td>\n",
       "      <td>43</td>\n",
       "      <td>3403</td>\n",
       "      <td>156.0</td>\n",
       "      <td>50.9</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.58</td>\n",
       "      <td>9.85</td>\n",
       "      <td>160.0</td>\n",
       "      <td>14</td>\n",
       "      <td>29</td>\n",
       "      <td>4433</td>\n",
       "      <td>172.0</td>\n",
       "      <td>77.6</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.36</td>\n",
       "      <td>9.41</td>\n",
       "      <td>182.0</td>\n",
       "      <td>24</td>\n",
       "      <td>30</td>\n",
       "      <td>4520</td>\n",
       "      <td>167.0</td>\n",
       "      <td>61.6</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.48</td>\n",
       "      <td>9.44</td>\n",
       "      <td>176.0</td>\n",
       "      <td>17</td>\n",
       "      <td>43</td>\n",
       "      <td>4209</td>\n",
       "      <td>157.0</td>\n",
       "      <td>57.1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.24</td>\n",
       "      <td>9.07</td>\n",
       "      <td>185.0</td>\n",
       "      <td>22</td>\n",
       "      <td>33</td>\n",
       "      <td>2887</td>\n",
       "      <td>167.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.48</td>\n",
       "      <td>10.00</td>\n",
       "      <td>160.0</td>\n",
       "      <td>18</td>\n",
       "      <td>30</td>\n",
       "      <td>3016</td>\n",
       "      <td>157.0</td>\n",
       "      <td>55.7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>4.09</td>\n",
       "      <td>10.00</td>\n",
       "      <td>172.0</td>\n",
       "      <td>8</td>\n",
       "      <td>42</td>\n",
       "      <td>3949</td>\n",
       "      <td>172.0</td>\n",
       "      <td>57.8</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.30</td>\n",
       "      <td>9.74</td>\n",
       "      <td>155.0</td>\n",
       "      <td>10</td>\n",
       "      <td>35</td>\n",
       "      <td>3574</td>\n",
       "      <td>155.0</td>\n",
       "      <td>52.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.35</td>\n",
       "      <td>9.74</td>\n",
       "      <td>180.0</td>\n",
       "      <td>19</td>\n",
       "      <td>33</td>\n",
       "      <td>3285</td>\n",
       "      <td>161.0</td>\n",
       "      <td>51.3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>4.03</td>\n",
       "      <td>10.80</td>\n",
       "      <td>151.0</td>\n",
       "      <td>11</td>\n",
       "      <td>40</td>\n",
       "      <td>3503</td>\n",
       "      <td>162.0</td>\n",
       "      <td>50.6</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.40</td>\n",
       "      <td>9.95</td>\n",
       "      <td>168.0</td>\n",
       "      <td>15</td>\n",
       "      <td>41</td>\n",
       "      <td>4586</td>\n",
       "      <td>166.0</td>\n",
       "      <td>53.3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.58</td>\n",
       "      <td>9.68</td>\n",
       "      <td>186.0</td>\n",
       "      <td>21</td>\n",
       "      <td>40</td>\n",
       "      <td>3942</td>\n",
       "      <td>161.0</td>\n",
       "      <td>51.3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.49</td>\n",
       "      <td>8.77</td>\n",
       "      <td>185.0</td>\n",
       "      <td>19</td>\n",
       "      <td>40</td>\n",
       "      <td>3171</td>\n",
       "      <td>160.0</td>\n",
       "      <td>46.7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2</td>\n",
       "      <td>女</td>\n",
       "      <td>0.00</td>\n",
       "      <td>10.10</td>\n",
       "      <td>150.0</td>\n",
       "      <td>30</td>\n",
       "      <td>28</td>\n",
       "      <td>2673</td>\n",
       "      <td>169.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2</td>\n",
       "      <td>女</td>\n",
       "      <td>4.19</td>\n",
       "      <td>9.90</td>\n",
       "      <td>151.0</td>\n",
       "      <td>20</td>\n",
       "      <td>32</td>\n",
       "      <td>3410</td>\n",
       "      <td>165.0</td>\n",
       "      <td>65.6</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>563</th>\n",
       "      <td>16</td>\n",
       "      <td>女</td>\n",
       "      <td>4.12</td>\n",
       "      <td>10.09</td>\n",
       "      <td>162.0</td>\n",
       "      <td>15</td>\n",
       "      <td>48</td>\n",
       "      <td>2802</td>\n",
       "      <td>161.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564</th>\n",
       "      <td>16</td>\n",
       "      <td>女</td>\n",
       "      <td>3.36</td>\n",
       "      <td>9.35</td>\n",
       "      <td>182.0</td>\n",
       "      <td>15</td>\n",
       "      <td>40</td>\n",
       "      <td>2390</td>\n",
       "      <td>165.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>565</th>\n",
       "      <td>16</td>\n",
       "      <td>女</td>\n",
       "      <td>4.01</td>\n",
       "      <td>9.97</td>\n",
       "      <td>156.0</td>\n",
       "      <td>12</td>\n",
       "      <td>40</td>\n",
       "      <td>2668</td>\n",
       "      <td>167.0</td>\n",
       "      <td>51.1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>566</th>\n",
       "      <td>16</td>\n",
       "      <td>女</td>\n",
       "      <td>3.44</td>\n",
       "      <td>9.97</td>\n",
       "      <td>160.0</td>\n",
       "      <td>15</td>\n",
       "      <td>35</td>\n",
       "      <td>3437</td>\n",
       "      <td>159.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>567</th>\n",
       "      <td>16</td>\n",
       "      <td>女</td>\n",
       "      <td>5.17</td>\n",
       "      <td>11.77</td>\n",
       "      <td>130.0</td>\n",
       "      <td>12</td>\n",
       "      <td>33</td>\n",
       "      <td>3447</td>\n",
       "      <td>163.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>568</th>\n",
       "      <td>16</td>\n",
       "      <td>女</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>569</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>3.31</td>\n",
       "      <td>9.44</td>\n",
       "      <td>180.0</td>\n",
       "      <td>13</td>\n",
       "      <td>58</td>\n",
       "      <td>1923</td>\n",
       "      <td>165.0</td>\n",
       "      <td>43.8</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>570</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>0.00</td>\n",
       "      <td>9.21</td>\n",
       "      <td>176.0</td>\n",
       "      <td>13</td>\n",
       "      <td>41</td>\n",
       "      <td>2091</td>\n",
       "      <td>158.0</td>\n",
       "      <td>52.5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>571</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>3.56</td>\n",
       "      <td>10.53</td>\n",
       "      <td>162.0</td>\n",
       "      <td>16</td>\n",
       "      <td>48</td>\n",
       "      <td>1918</td>\n",
       "      <td>155.0</td>\n",
       "      <td>45.7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>572</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>3.37</td>\n",
       "      <td>10.08</td>\n",
       "      <td>179.0</td>\n",
       "      <td>14</td>\n",
       "      <td>48</td>\n",
       "      <td>2300</td>\n",
       "      <td>154.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>573</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>4.54</td>\n",
       "      <td>11.14</td>\n",
       "      <td>140.0</td>\n",
       "      <td>14</td>\n",
       "      <td>39</td>\n",
       "      <td>2453</td>\n",
       "      <td>162.0</td>\n",
       "      <td>52.1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>574</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>3.44</td>\n",
       "      <td>9.83</td>\n",
       "      <td>168.0</td>\n",
       "      <td>22</td>\n",
       "      <td>32</td>\n",
       "      <td>3571</td>\n",
       "      <td>165.0</td>\n",
       "      <td>59.3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>575</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>4.25</td>\n",
       "      <td>10.00</td>\n",
       "      <td>150.0</td>\n",
       "      <td>15</td>\n",
       "      <td>38</td>\n",
       "      <td>2489</td>\n",
       "      <td>161.0</td>\n",
       "      <td>65.3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>576</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>4.23</td>\n",
       "      <td>10.00</td>\n",
       "      <td>170.0</td>\n",
       "      <td>26</td>\n",
       "      <td>38</td>\n",
       "      <td>2528</td>\n",
       "      <td>161.0</td>\n",
       "      <td>52.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>577</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>3.55</td>\n",
       "      <td>10.13</td>\n",
       "      <td>162.0</td>\n",
       "      <td>16</td>\n",
       "      <td>43</td>\n",
       "      <td>2625</td>\n",
       "      <td>156.0</td>\n",
       "      <td>61.4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>578</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>4.05</td>\n",
       "      <td>10.20</td>\n",
       "      <td>160.0</td>\n",
       "      <td>18</td>\n",
       "      <td>47</td>\n",
       "      <td>2654</td>\n",
       "      <td>149.0</td>\n",
       "      <td>46.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>579</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>4.10</td>\n",
       "      <td>10.15</td>\n",
       "      <td>162.0</td>\n",
       "      <td>5</td>\n",
       "      <td>40</td>\n",
       "      <td>2839</td>\n",
       "      <td>161.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>580</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>3.25</td>\n",
       "      <td>10.46</td>\n",
       "      <td>160.0</td>\n",
       "      <td>13</td>\n",
       "      <td>40</td>\n",
       "      <td>1924</td>\n",
       "      <td>156.0</td>\n",
       "      <td>51.1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>581</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>4.02</td>\n",
       "      <td>9.82</td>\n",
       "      <td>165.0</td>\n",
       "      <td>13</td>\n",
       "      <td>38</td>\n",
       "      <td>2741</td>\n",
       "      <td>167.0</td>\n",
       "      <td>58.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>582</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>3.25</td>\n",
       "      <td>9.28</td>\n",
       "      <td>167.0</td>\n",
       "      <td>11</td>\n",
       "      <td>47</td>\n",
       "      <td>1838</td>\n",
       "      <td>172.0</td>\n",
       "      <td>51.7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>583</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>3.56</td>\n",
       "      <td>11.03</td>\n",
       "      <td>162.0</td>\n",
       "      <td>11</td>\n",
       "      <td>37</td>\n",
       "      <td>2008</td>\n",
       "      <td>160.0</td>\n",
       "      <td>42.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>584</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>3.54</td>\n",
       "      <td>9.16</td>\n",
       "      <td>182.0</td>\n",
       "      <td>23</td>\n",
       "      <td>41</td>\n",
       "      <td>1881</td>\n",
       "      <td>160.0</td>\n",
       "      <td>56.8</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>585</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>3.37</td>\n",
       "      <td>9.22</td>\n",
       "      <td>175.0</td>\n",
       "      <td>11</td>\n",
       "      <td>46</td>\n",
       "      <td>2167</td>\n",
       "      <td>158.0</td>\n",
       "      <td>50.5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>586</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>0.00</td>\n",
       "      <td>11.15</td>\n",
       "      <td>149.0</td>\n",
       "      <td>28</td>\n",
       "      <td>50</td>\n",
       "      <td>2498</td>\n",
       "      <td>158.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>587</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>3.46</td>\n",
       "      <td>9.60</td>\n",
       "      <td>170.0</td>\n",
       "      <td>6</td>\n",
       "      <td>41</td>\n",
       "      <td>2824</td>\n",
       "      <td>163.0</td>\n",
       "      <td>59.5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>588</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>3.51</td>\n",
       "      <td>9.60</td>\n",
       "      <td>150.0</td>\n",
       "      <td>24</td>\n",
       "      <td>41</td>\n",
       "      <td>2255</td>\n",
       "      <td>158.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>589</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>4.00</td>\n",
       "      <td>10.18</td>\n",
       "      <td>150.0</td>\n",
       "      <td>13</td>\n",
       "      <td>36</td>\n",
       "      <td>2937</td>\n",
       "      <td>161.0</td>\n",
       "      <td>55.7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>590</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>3.45</td>\n",
       "      <td>10.18</td>\n",
       "      <td>152.0</td>\n",
       "      <td>15</td>\n",
       "      <td>35</td>\n",
       "      <td>2592</td>\n",
       "      <td>165.0</td>\n",
       "      <td>48.6</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>591</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>4.01</td>\n",
       "      <td>9.67</td>\n",
       "      <td>165.0</td>\n",
       "      <td>10</td>\n",
       "      <td>41</td>\n",
       "      <td>1829</td>\n",
       "      <td>154.0</td>\n",
       "      <td>43.6</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>592</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>4.48</td>\n",
       "      <td>9.09</td>\n",
       "      <td>180.0</td>\n",
       "      <td>10</td>\n",
       "      <td>46</td>\n",
       "      <td>2962</td>\n",
       "      <td>162.0</td>\n",
       "      <td>55.3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>593 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     班级 性别  女800米跑  女50米跑    女跳远  女体前屈  女仰卧  女肺活量     身高    体重  BMI\n",
       "0     1  女    3.22   9.32  185.0    16   48  3775  163.0  51.3    0\n",
       "1     1  女    4.59  11.44  148.0     9   29  3683  163.0  66.6    0\n",
       "2     1  女    3.46  13.40  150.0     7   40  3331  157.0  60.0    0\n",
       "3     1  女    3.39   9.52  172.0    21   46  3701  160.0  50.7    0\n",
       "4     1  女    3.43   9.79  145.0     8   34  3592  167.0  63.9    0\n",
       "5     1  女    3.47  10.01  158.0    17   35  3483  170.0  47.0    0\n",
       "6     1  女    4.69  10.42  150.0    18   32  3754  158.0  54.0    0\n",
       "7     1  女    4.26  10.03  165.0    16   35  4520  160.0  48.5    0\n",
       "8     1  女    3.48  10.59  159.0     8   46  3662  160.0  42.0    0\n",
       "9     1  女    4.18  10.30  161.0    22   42  3955  171.0  62.2    0\n",
       "10    1  女    3.38   9.37  162.0    15   43  4374  157.0  56.0    0\n",
       "11    1  女    4.11  10.68  150.0    15   45  4488  175.0  53.2    0\n",
       "12    1  女    3.45   9.74  168.0    21   35  4176  164.0  49.5    0\n",
       "13    1  女    3.59  10.83  140.0     6   41  3497  159.0  52.0    0\n",
       "14    1  女    3.32  10.25  167.0    19   31  4094  165.0  56.7    0\n",
       "15    1  女    3.40  10.25  152.0    21   43  3403  156.0  50.9    0\n",
       "16    1  女    3.58   9.85  160.0    14   29  4433  172.0  77.6    0\n",
       "17    1  女    3.36   9.41  182.0    24   30  4520  167.0  61.6    0\n",
       "18    1  女    3.48   9.44  176.0    17   43  4209  157.0  57.1    0\n",
       "19    1  女    3.24   9.07  185.0    22   33  2887  167.0  52.0    0\n",
       "20    1  女    3.48  10.00  160.0    18   30  3016  157.0  55.7    0\n",
       "21    1  女    4.09  10.00  172.0     8   42  3949  172.0  57.8    0\n",
       "22    1  女    3.30   9.74  155.0    10   35  3574  155.0  52.2    0\n",
       "23    1  女    3.35   9.74  180.0    19   33  3285  161.0  51.3    0\n",
       "24    1  女    4.03  10.80  151.0    11   40  3503  162.0  50.6    0\n",
       "25    1  女    3.40   9.95  168.0    15   41  4586  166.0  53.3    0\n",
       "26    1  女    3.58   9.68  186.0    21   40  3942  161.0  51.3    0\n",
       "27    1  女    3.49   8.77  185.0    19   40  3171  160.0  46.7    0\n",
       "28    2  女    0.00  10.10  150.0    30   28  2673  169.0  61.0    0\n",
       "29    2  女    4.19   9.90  151.0    20   32  3410  165.0  65.6    0\n",
       "..   .. ..     ...    ...    ...   ...  ...   ...    ...   ...  ...\n",
       "563  16  女    4.12  10.09  162.0    15   48  2802  161.0  54.0    0\n",
       "564  16  女    3.36   9.35  182.0    15   40  2390  165.0  53.0    0\n",
       "565  16  女    4.01   9.97  156.0    12   40  2668  167.0  51.1    0\n",
       "566  16  女    3.44   9.97  160.0    15   35  3437  159.0  58.0    0\n",
       "567  16  女    5.17  11.77  130.0    12   33  3447  163.0  76.0    0\n",
       "568  16  女    0.00   0.00    0.0     0    0     0    0.0   0.0    0\n",
       "569  17  女    3.31   9.44  180.0    13   58  1923  165.0  43.8    0\n",
       "570  17  女    0.00   9.21  176.0    13   41  2091  158.0  52.5    0\n",
       "571  17  女    3.56  10.53  162.0    16   48  1918  155.0  45.7    0\n",
       "572  17  女    3.37  10.08  179.0    14   48  2300  154.0  45.0    0\n",
       "573  17  女    4.54  11.14  140.0    14   39  2453  162.0  52.1    0\n",
       "574  17  女    3.44   9.83  168.0    22   32  3571  165.0  59.3    0\n",
       "575  17  女    4.25  10.00  150.0    15   38  2489  161.0  65.3    0\n",
       "576  17  女    4.23  10.00  170.0    26   38  2528  161.0  52.2    0\n",
       "577  17  女    3.55  10.13  162.0    16   43  2625  156.0  61.4    0\n",
       "578  17  女    4.05  10.20  160.0    18   47  2654  149.0  46.2    0\n",
       "579  17  女    4.10  10.15  162.0     5   40  2839  161.0  59.0    0\n",
       "580  17  女    3.25  10.46  160.0    13   40  1924  156.0  51.1    0\n",
       "581  17  女    4.02   9.82  165.0    13   38  2741  167.0  58.2    0\n",
       "582  17  女    3.25   9.28  167.0    11   47  1838  172.0  51.7    0\n",
       "583  17  女    3.56  11.03  162.0    11   37  2008  160.0  42.2    0\n",
       "584  17  女    3.54   9.16  182.0    23   41  1881  160.0  56.8    0\n",
       "585  17  女    3.37   9.22  175.0    11   46  2167  158.0  50.5    0\n",
       "586  17  女    0.00  11.15  149.0    28   50  2498  158.0  48.0    0\n",
       "587  17  女    3.46   9.60  170.0     6   41  2824  163.0  59.5    0\n",
       "588  17  女    3.51   9.60  150.0    24   41  2255  158.0  49.0    0\n",
       "589  17  女    4.00  10.18  150.0    13   36  2937  161.0  55.7    0\n",
       "590  17  女    3.45  10.18  152.0    15   35  2592  165.0  48.6    0\n",
       "591  17  女    4.01   9.67  165.0    10   41  1829  154.0  43.6    0\n",
       "592  17  女    4.48   9.09  180.0    10   46  2962  162.0  55.3    0\n",
       "\n",
       "[593 rows x 11 columns]"
      ]
     },
     "execution_count": 237,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 2.数据加载\n",
    "df_female = pd.read_excel('./18级高一体测成绩汇总.xls',sheet_name = 1)\n",
    "df_female"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 244,
   "id": "critical-ethernet",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"2\" halign=\"left\">男肺活量</th>\n",
       "      <th colspan=\"2\" halign=\"left\">女肺活量</th>\n",
       "      <th colspan=\"2\" halign=\"left\">男50米跑</th>\n",
       "      <th colspan=\"2\" halign=\"left\">女50米跑</th>\n",
       "      <th colspan=\"2\" halign=\"left\">男体前屈</th>\n",
       "      <th>...</th>\n",
       "      <th colspan=\"2\" halign=\"left\">女跳远</th>\n",
       "      <th colspan=\"2\" halign=\"left\">男引体</th>\n",
       "      <th colspan=\"2\" halign=\"left\">女仰卧</th>\n",
       "      <th colspan=\"2\" halign=\"left\">男1000米跑</th>\n",
       "      <th colspan=\"2\" halign=\"left\">女800米跑</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>成绩</th>\n",
       "      <th>分数</th>\n",
       "      <th>成绩</th>\n",
       "      <th>分数</th>\n",
       "      <th>成绩</th>\n",
       "      <th>分数</th>\n",
       "      <th>成绩</th>\n",
       "      <th>分数</th>\n",
       "      <th>成绩</th>\n",
       "      <th>分数</th>\n",
       "      <th>...</th>\n",
       "      <th>成绩</th>\n",
       "      <th>分数</th>\n",
       "      <th>成绩</th>\n",
       "      <th>分数</th>\n",
       "      <th>成绩</th>\n",
       "      <th>分数</th>\n",
       "      <th>成绩</th>\n",
       "      <th>分数</th>\n",
       "      <th>成绩</th>\n",
       "      <th>分数</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4540</td>\n",
       "      <td>100</td>\n",
       "      <td>3150</td>\n",
       "      <td>100</td>\n",
       "      <td>7.1</td>\n",
       "      <td>100</td>\n",
       "      <td>7.8</td>\n",
       "      <td>100</td>\n",
       "      <td>23.6</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>204</td>\n",
       "      <td>100</td>\n",
       "      <td>16.0</td>\n",
       "      <td>100</td>\n",
       "      <td>53</td>\n",
       "      <td>100</td>\n",
       "      <td>3'30\"</td>\n",
       "      <td>100</td>\n",
       "      <td>3'24\"</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4420</td>\n",
       "      <td>95</td>\n",
       "      <td>3100</td>\n",
       "      <td>95</td>\n",
       "      <td>7.2</td>\n",
       "      <td>95</td>\n",
       "      <td>7.9</td>\n",
       "      <td>95</td>\n",
       "      <td>21.5</td>\n",
       "      <td>95</td>\n",
       "      <td>...</td>\n",
       "      <td>198</td>\n",
       "      <td>95</td>\n",
       "      <td>15.0</td>\n",
       "      <td>95</td>\n",
       "      <td>51</td>\n",
       "      <td>95</td>\n",
       "      <td>3'35\"</td>\n",
       "      <td>95</td>\n",
       "      <td>3'30\"</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4300</td>\n",
       "      <td>90</td>\n",
       "      <td>3050</td>\n",
       "      <td>90</td>\n",
       "      <td>7.3</td>\n",
       "      <td>90</td>\n",
       "      <td>8.0</td>\n",
       "      <td>90</td>\n",
       "      <td>19.4</td>\n",
       "      <td>90</td>\n",
       "      <td>...</td>\n",
       "      <td>192</td>\n",
       "      <td>90</td>\n",
       "      <td>14.0</td>\n",
       "      <td>90</td>\n",
       "      <td>49</td>\n",
       "      <td>90</td>\n",
       "      <td>3'40\"</td>\n",
       "      <td>90</td>\n",
       "      <td>3'36\"</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4050</td>\n",
       "      <td>85</td>\n",
       "      <td>2900</td>\n",
       "      <td>85</td>\n",
       "      <td>7.4</td>\n",
       "      <td>85</td>\n",
       "      <td>8.3</td>\n",
       "      <td>85</td>\n",
       "      <td>17.2</td>\n",
       "      <td>85</td>\n",
       "      <td>...</td>\n",
       "      <td>185</td>\n",
       "      <td>85</td>\n",
       "      <td>13.0</td>\n",
       "      <td>85</td>\n",
       "      <td>46</td>\n",
       "      <td>85</td>\n",
       "      <td>3'47\"</td>\n",
       "      <td>85</td>\n",
       "      <td>3'43\"</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3800</td>\n",
       "      <td>80</td>\n",
       "      <td>2750</td>\n",
       "      <td>80</td>\n",
       "      <td>7.5</td>\n",
       "      <td>80</td>\n",
       "      <td>8.6</td>\n",
       "      <td>80</td>\n",
       "      <td>15.0</td>\n",
       "      <td>80</td>\n",
       "      <td>...</td>\n",
       "      <td>178</td>\n",
       "      <td>80</td>\n",
       "      <td>12.0</td>\n",
       "      <td>80</td>\n",
       "      <td>43</td>\n",
       "      <td>80</td>\n",
       "      <td>3'55\"</td>\n",
       "      <td>80</td>\n",
       "      <td>3'50\"</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>3680</td>\n",
       "      <td>78</td>\n",
       "      <td>2650</td>\n",
       "      <td>78</td>\n",
       "      <td>7.7</td>\n",
       "      <td>78</td>\n",
       "      <td>8.8</td>\n",
       "      <td>78</td>\n",
       "      <td>13.6</td>\n",
       "      <td>78</td>\n",
       "      <td>...</td>\n",
       "      <td>175</td>\n",
       "      <td>78</td>\n",
       "      <td>NaN</td>\n",
       "      <td>78</td>\n",
       "      <td>41</td>\n",
       "      <td>78</td>\n",
       "      <td>4'00\"</td>\n",
       "      <td>78</td>\n",
       "      <td>3'55\"</td>\n",
       "      <td>78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>3560</td>\n",
       "      <td>76</td>\n",
       "      <td>2550</td>\n",
       "      <td>76</td>\n",
       "      <td>7.9</td>\n",
       "      <td>76</td>\n",
       "      <td>9.0</td>\n",
       "      <td>76</td>\n",
       "      <td>12.2</td>\n",
       "      <td>76</td>\n",
       "      <td>...</td>\n",
       "      <td>172</td>\n",
       "      <td>76</td>\n",
       "      <td>11.0</td>\n",
       "      <td>76</td>\n",
       "      <td>39</td>\n",
       "      <td>76</td>\n",
       "      <td>4'05\"</td>\n",
       "      <td>76</td>\n",
       "      <td>4'00\"</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>3440</td>\n",
       "      <td>74</td>\n",
       "      <td>2450</td>\n",
       "      <td>74</td>\n",
       "      <td>8.1</td>\n",
       "      <td>74</td>\n",
       "      <td>9.2</td>\n",
       "      <td>74</td>\n",
       "      <td>10.8</td>\n",
       "      <td>74</td>\n",
       "      <td>...</td>\n",
       "      <td>169</td>\n",
       "      <td>74</td>\n",
       "      <td>NaN</td>\n",
       "      <td>74</td>\n",
       "      <td>37</td>\n",
       "      <td>74</td>\n",
       "      <td>4'10\"</td>\n",
       "      <td>74</td>\n",
       "      <td>4'05\"</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>3320</td>\n",
       "      <td>72</td>\n",
       "      <td>2350</td>\n",
       "      <td>72</td>\n",
       "      <td>8.3</td>\n",
       "      <td>72</td>\n",
       "      <td>9.4</td>\n",
       "      <td>72</td>\n",
       "      <td>9.4</td>\n",
       "      <td>72</td>\n",
       "      <td>...</td>\n",
       "      <td>166</td>\n",
       "      <td>72</td>\n",
       "      <td>10.0</td>\n",
       "      <td>72</td>\n",
       "      <td>35</td>\n",
       "      <td>72</td>\n",
       "      <td>4'15\"</td>\n",
       "      <td>72</td>\n",
       "      <td>4'10\"</td>\n",
       "      <td>72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>3200</td>\n",
       "      <td>70</td>\n",
       "      <td>2250</td>\n",
       "      <td>70</td>\n",
       "      <td>8.5</td>\n",
       "      <td>70</td>\n",
       "      <td>9.6</td>\n",
       "      <td>70</td>\n",
       "      <td>8.0</td>\n",
       "      <td>70</td>\n",
       "      <td>...</td>\n",
       "      <td>163</td>\n",
       "      <td>70</td>\n",
       "      <td>NaN</td>\n",
       "      <td>70</td>\n",
       "      <td>33</td>\n",
       "      <td>70</td>\n",
       "      <td>4'20\"</td>\n",
       "      <td>70</td>\n",
       "      <td>4'15\"</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>3080</td>\n",
       "      <td>68</td>\n",
       "      <td>2150</td>\n",
       "      <td>68</td>\n",
       "      <td>8.7</td>\n",
       "      <td>68</td>\n",
       "      <td>9.8</td>\n",
       "      <td>68</td>\n",
       "      <td>6.6</td>\n",
       "      <td>68</td>\n",
       "      <td>...</td>\n",
       "      <td>160</td>\n",
       "      <td>68</td>\n",
       "      <td>9.0</td>\n",
       "      <td>68</td>\n",
       "      <td>31</td>\n",
       "      <td>68</td>\n",
       "      <td>4'25\"</td>\n",
       "      <td>68</td>\n",
       "      <td>4'20\"</td>\n",
       "      <td>68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2960</td>\n",
       "      <td>66</td>\n",
       "      <td>2050</td>\n",
       "      <td>66</td>\n",
       "      <td>8.9</td>\n",
       "      <td>66</td>\n",
       "      <td>10.0</td>\n",
       "      <td>66</td>\n",
       "      <td>5.2</td>\n",
       "      <td>66</td>\n",
       "      <td>...</td>\n",
       "      <td>157</td>\n",
       "      <td>66</td>\n",
       "      <td>NaN</td>\n",
       "      <td>66</td>\n",
       "      <td>29</td>\n",
       "      <td>66</td>\n",
       "      <td>4'30\"</td>\n",
       "      <td>66</td>\n",
       "      <td>4'25\"</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2840</td>\n",
       "      <td>64</td>\n",
       "      <td>1950</td>\n",
       "      <td>64</td>\n",
       "      <td>9.1</td>\n",
       "      <td>64</td>\n",
       "      <td>10.2</td>\n",
       "      <td>64</td>\n",
       "      <td>3.8</td>\n",
       "      <td>64</td>\n",
       "      <td>...</td>\n",
       "      <td>154</td>\n",
       "      <td>64</td>\n",
       "      <td>8.0</td>\n",
       "      <td>64</td>\n",
       "      <td>27</td>\n",
       "      <td>64</td>\n",
       "      <td>4'35\"</td>\n",
       "      <td>64</td>\n",
       "      <td>4'30\"</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2720</td>\n",
       "      <td>62</td>\n",
       "      <td>1850</td>\n",
       "      <td>62</td>\n",
       "      <td>9.3</td>\n",
       "      <td>62</td>\n",
       "      <td>10.4</td>\n",
       "      <td>62</td>\n",
       "      <td>2.4</td>\n",
       "      <td>62</td>\n",
       "      <td>...</td>\n",
       "      <td>151</td>\n",
       "      <td>62</td>\n",
       "      <td>NaN</td>\n",
       "      <td>62</td>\n",
       "      <td>25</td>\n",
       "      <td>62</td>\n",
       "      <td>4'40\"</td>\n",
       "      <td>62</td>\n",
       "      <td>4'35\"</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2600</td>\n",
       "      <td>60</td>\n",
       "      <td>1750</td>\n",
       "      <td>60</td>\n",
       "      <td>9.5</td>\n",
       "      <td>60</td>\n",
       "      <td>10.6</td>\n",
       "      <td>60</td>\n",
       "      <td>1.0</td>\n",
       "      <td>60</td>\n",
       "      <td>...</td>\n",
       "      <td>148</td>\n",
       "      <td>60</td>\n",
       "      <td>7.0</td>\n",
       "      <td>60</td>\n",
       "      <td>23</td>\n",
       "      <td>60</td>\n",
       "      <td>4'45\"</td>\n",
       "      <td>60</td>\n",
       "      <td>4'40\"</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2470</td>\n",
       "      <td>50</td>\n",
       "      <td>1710</td>\n",
       "      <td>50</td>\n",
       "      <td>9.7</td>\n",
       "      <td>50</td>\n",
       "      <td>10.8</td>\n",
       "      <td>50</td>\n",
       "      <td>0.0</td>\n",
       "      <td>50</td>\n",
       "      <td>...</td>\n",
       "      <td>143</td>\n",
       "      <td>50</td>\n",
       "      <td>6.0</td>\n",
       "      <td>50</td>\n",
       "      <td>21</td>\n",
       "      <td>50</td>\n",
       "      <td>5'05\"</td>\n",
       "      <td>50</td>\n",
       "      <td>4'50\"</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2340</td>\n",
       "      <td>40</td>\n",
       "      <td>1670</td>\n",
       "      <td>40</td>\n",
       "      <td>9.9</td>\n",
       "      <td>40</td>\n",
       "      <td>11.0</td>\n",
       "      <td>40</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>40</td>\n",
       "      <td>...</td>\n",
       "      <td>138</td>\n",
       "      <td>40</td>\n",
       "      <td>5.0</td>\n",
       "      <td>40</td>\n",
       "      <td>19</td>\n",
       "      <td>40</td>\n",
       "      <td>5'25\"</td>\n",
       "      <td>40</td>\n",
       "      <td>5'00\"</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2210</td>\n",
       "      <td>30</td>\n",
       "      <td>1630</td>\n",
       "      <td>30</td>\n",
       "      <td>10.1</td>\n",
       "      <td>30</td>\n",
       "      <td>11.2</td>\n",
       "      <td>30</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>30</td>\n",
       "      <td>...</td>\n",
       "      <td>133</td>\n",
       "      <td>30</td>\n",
       "      <td>4.0</td>\n",
       "      <td>30</td>\n",
       "      <td>17</td>\n",
       "      <td>30</td>\n",
       "      <td>5'45\"</td>\n",
       "      <td>30</td>\n",
       "      <td>5'10\"</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2080</td>\n",
       "      <td>20</td>\n",
       "      <td>1590</td>\n",
       "      <td>20</td>\n",
       "      <td>10.3</td>\n",
       "      <td>20</td>\n",
       "      <td>11.4</td>\n",
       "      <td>20</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>20</td>\n",
       "      <td>...</td>\n",
       "      <td>128</td>\n",
       "      <td>20</td>\n",
       "      <td>3.0</td>\n",
       "      <td>20</td>\n",
       "      <td>15</td>\n",
       "      <td>20</td>\n",
       "      <td>6'05\"</td>\n",
       "      <td>20</td>\n",
       "      <td>5'20\"</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1950</td>\n",
       "      <td>10</td>\n",
       "      <td>1550</td>\n",
       "      <td>10</td>\n",
       "      <td>10.5</td>\n",
       "      <td>10</td>\n",
       "      <td>11.6</td>\n",
       "      <td>10</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>10</td>\n",
       "      <td>...</td>\n",
       "      <td>123</td>\n",
       "      <td>10</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>6'25\"</td>\n",
       "      <td>10</td>\n",
       "      <td>5'30\"</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    男肺活量       女肺活量      男50米跑      女50米跑       男体前屈       ...  女跳远       \\\n",
       "      成绩   分数    成绩   分数    成绩   分数    成绩   分数    成绩   分数  ...   成绩   分数   \n",
       "0   4540  100  3150  100   7.1  100   7.8  100  23.6  100  ...  204  100   \n",
       "1   4420   95  3100   95   7.2   95   7.9   95  21.5   95  ...  198   95   \n",
       "2   4300   90  3050   90   7.3   90   8.0   90  19.4   90  ...  192   90   \n",
       "3   4050   85  2900   85   7.4   85   8.3   85  17.2   85  ...  185   85   \n",
       "4   3800   80  2750   80   7.5   80   8.6   80  15.0   80  ...  178   80   \n",
       "5   3680   78  2650   78   7.7   78   8.8   78  13.6   78  ...  175   78   \n",
       "6   3560   76  2550   76   7.9   76   9.0   76  12.2   76  ...  172   76   \n",
       "7   3440   74  2450   74   8.1   74   9.2   74  10.8   74  ...  169   74   \n",
       "8   3320   72  2350   72   8.3   72   9.4   72   9.4   72  ...  166   72   \n",
       "9   3200   70  2250   70   8.5   70   9.6   70   8.0   70  ...  163   70   \n",
       "10  3080   68  2150   68   8.7   68   9.8   68   6.6   68  ...  160   68   \n",
       "11  2960   66  2050   66   8.9   66  10.0   66   5.2   66  ...  157   66   \n",
       "12  2840   64  1950   64   9.1   64  10.2   64   3.8   64  ...  154   64   \n",
       "13  2720   62  1850   62   9.3   62  10.4   62   2.4   62  ...  151   62   \n",
       "14  2600   60  1750   60   9.5   60  10.6   60   1.0   60  ...  148   60   \n",
       "15  2470   50  1710   50   9.7   50  10.8   50   0.0   50  ...  143   50   \n",
       "16  2340   40  1670   40   9.9   40  11.0   40  -1.0   40  ...  138   40   \n",
       "17  2210   30  1630   30  10.1   30  11.2   30  -2.0   30  ...  133   30   \n",
       "18  2080   20  1590   20  10.3   20  11.4   20  -3.0   20  ...  128   20   \n",
       "19  1950   10  1550   10  10.5   10  11.6   10  -4.0   10  ...  123   10   \n",
       "\n",
       "     男引体      女仰卧      男1000米跑      女800米跑       \n",
       "      成绩   分数  成绩   分数      成绩   分数     成绩   分数  \n",
       "0   16.0  100  53  100   3'30\"  100  3'24\"  100  \n",
       "1   15.0   95  51   95   3'35\"   95  3'30\"   95  \n",
       "2   14.0   90  49   90   3'40\"   90  3'36\"   90  \n",
       "3   13.0   85  46   85   3'47\"   85  3'43\"   85  \n",
       "4   12.0   80  43   80   3'55\"   80  3'50\"   80  \n",
       "5    NaN   78  41   78   4'00\"   78  3'55\"   78  \n",
       "6   11.0   76  39   76   4'05\"   76  4'00\"   76  \n",
       "7    NaN   74  37   74   4'10\"   74  4'05\"   74  \n",
       "8   10.0   72  35   72   4'15\"   72  4'10\"   72  \n",
       "9    NaN   70  33   70   4'20\"   70  4'15\"   70  \n",
       "10   9.0   68  31   68   4'25\"   68  4'20\"   68  \n",
       "11   NaN   66  29   66   4'30\"   66  4'25\"   66  \n",
       "12   8.0   64  27   64   4'35\"   64  4'30\"   64  \n",
       "13   NaN   62  25   62   4'40\"   62  4'35\"   62  \n",
       "14   7.0   60  23   60   4'45\"   60  4'40\"   60  \n",
       "15   6.0   50  21   50   5'05\"   50  4'50\"   50  \n",
       "16   5.0   40  19   40   5'25\"   40  5'00\"   40  \n",
       "17   4.0   30  17   30   5'45\"   30  5'10\"   30  \n",
       "18   3.0   20  15   20   6'05\"   20  5'20\"   20  \n",
       "19   2.0   10  13   10   6'25\"   10  5'30\"   10  \n",
       "\n",
       "[20 rows x 24 columns]"
      ]
     },
     "execution_count": 244,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 3、评分标准加载\n",
    "df_tc = pd.read_excel('./体侧成绩评分表.xls',header = [0,1])\n",
    "df_tc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 241,
   "id": "widespread-static",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0      4.13\n",
       " 1      4.16\n",
       " 2      4.09\n",
       " 3      4.21\n",
       " 4      3.44\n",
       " 5      3.49\n",
       " 6      3.54\n",
       " 7      4.30\n",
       " 8      4.01\n",
       " 9      4.12\n",
       " 10     4.00\n",
       " 11     4.13\n",
       " 12     3.45\n",
       " 13     3.46\n",
       " 14     0.00\n",
       " 15     3.57\n",
       " 16     4.18\n",
       " 17     3.32\n",
       " 18     3.56\n",
       " 19     3.47\n",
       " 20     3.53\n",
       " 21     3.57\n",
       " 22     3.42\n",
       " 23     4.30\n",
       " 24     4.14\n",
       " 25     4.04\n",
       " 26     4.04\n",
       " 27     4.02\n",
       " 28     3.57\n",
       " 29     4.16\n",
       "        ... \n",
       " 447    4.15\n",
       " 448    4.36\n",
       " 449    3.48\n",
       " 450    3.58\n",
       " 451    4.02\n",
       " 452    4.02\n",
       " 453    4.38\n",
       " 454    0.00\n",
       " 455    4.20\n",
       " 456    4.26\n",
       " 457    4.09\n",
       " 458    3.49\n",
       " 459    4.36\n",
       " 460    4.37\n",
       " 461    3.44\n",
       " 462    3.55\n",
       " 463    3.41\n",
       " 464    5.29\n",
       " 465    4.11\n",
       " 466    4.56\n",
       " 467    3.54\n",
       " 468    0.00\n",
       " 469    4.40\n",
       " 470    3.54\n",
       " 471    4.58\n",
       " 472    4.23\n",
       " 473    5.19\n",
       " 474    3.25\n",
       " 475    4.39\n",
       " 476    0.00\n",
       " Name: 男1000米跑, Length: 477, dtype: float64,\n",
       " 班级           int64\n",
       " 性别          object\n",
       " 男1000米跑    float64\n",
       " 男50米跑      float64\n",
       " 男跳远        float64\n",
       " 男体前屈         int64\n",
       " 男引体          int64\n",
       " 男肺活量         int64\n",
       " 身高         float64\n",
       " 体重         float64\n",
       " BMI          int64\n",
       " dtype: object)"
      ]
     },
     "execution_count": 241,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 4、数据类型转换\n",
    "# (1)男1000米跑，数据类型是str，并且是4’26这种形式，需要变成float类型的值\n",
    "df_male['男1000米跑'] = df_male['男1000米跑'].map(lambda x:str(x).replace(\"'\",'.')).astype(float) #小数字符串转换为float\n",
    "df_male['男1000米跑'],df_male.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 245,
   "id": "vocal-realtor",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(男肺活量     成绩    float64\n",
       "          分数      int64\n",
       " 女肺活量     成绩    float64\n",
       "          分数      int64\n",
       " 男50米跑    成绩    float64\n",
       "          分数      int64\n",
       " 女50米跑    成绩    float64\n",
       "          分数      int64\n",
       " 男体前屈     成绩    float64\n",
       "          分数      int64\n",
       " 女体前屈     成绩    float64\n",
       "          分数      int64\n",
       " 男跳远      成绩    float64\n",
       "          分数      int64\n",
       " 女跳远      成绩    float64\n",
       "          分数      int64\n",
       " 男引体      成绩    float64\n",
       "          分数      int64\n",
       " 女仰卧      成绩    float64\n",
       "          分数      int64\n",
       " 男1000米跑  成绩    float64\n",
       "          分数      int64\n",
       " 女800米跑   成绩    float64\n",
       "          分数      int64\n",
       " dtype: object,\n",
       "       男肺活量         女肺活量      男50米跑      女50米跑       男体前屈       ...    女跳远  \\\n",
       "         成绩   分数      成绩   分数    成绩   分数    成绩   分数    成绩   分数  ...     成绩   \n",
       " 0   4540.0  100  3150.0  100   7.1  100   7.8  100  23.6  100  ...  204.0   \n",
       " 1   4420.0   95  3100.0   95   7.2   95   7.9   95  21.5   95  ...  198.0   \n",
       " 2   4300.0   90  3050.0   90   7.3   90   8.0   90  19.4   90  ...  192.0   \n",
       " 3   4050.0   85  2900.0   85   7.4   85   8.3   85  17.2   85  ...  185.0   \n",
       " 4   3800.0   80  2750.0   80   7.5   80   8.6   80  15.0   80  ...  178.0   \n",
       " 5   3680.0   78  2650.0   78   7.7   78   8.8   78  13.6   78  ...  175.0   \n",
       " 6   3560.0   76  2550.0   76   7.9   76   9.0   76  12.2   76  ...  172.0   \n",
       " 7   3440.0   74  2450.0   74   8.1   74   9.2   74  10.8   74  ...  169.0   \n",
       " 8   3320.0   72  2350.0   72   8.3   72   9.4   72   9.4   72  ...  166.0   \n",
       " 9   3200.0   70  2250.0   70   8.5   70   9.6   70   8.0   70  ...  163.0   \n",
       " 10  3080.0   68  2150.0   68   8.7   68   9.8   68   6.6   68  ...  160.0   \n",
       " 11  2960.0   66  2050.0   66   8.9   66  10.0   66   5.2   66  ...  157.0   \n",
       " 12  2840.0   64  1950.0   64   9.1   64  10.2   64   3.8   64  ...  154.0   \n",
       " 13  2720.0   62  1850.0   62   9.3   62  10.4   62   2.4   62  ...  151.0   \n",
       " 14  2600.0   60  1750.0   60   9.5   60  10.6   60   1.0   60  ...  148.0   \n",
       " 15  2470.0   50  1710.0   50   9.7   50  10.8   50   0.0   50  ...  143.0   \n",
       " 16  2340.0   40  1670.0   40   9.9   40  11.0   40  -1.0   40  ...  138.0   \n",
       " 17  2210.0   30  1630.0   30  10.1   30  11.2   30  -2.0   30  ...  133.0   \n",
       " 18  2080.0   20  1590.0   20  10.3   20  11.4   20  -3.0   20  ...  128.0   \n",
       " 19  1950.0   10  1550.0   10  10.5   10  11.6   10  -4.0   10  ...  123.0   \n",
       " \n",
       "           男引体        女仰卧      男1000米跑      女800米跑       \n",
       "      分数    成绩   分数    成绩   分数      成绩   分数     成绩   分数  \n",
       " 0   100  16.0  100  53.0  100    3.30  100   3.24  100  \n",
       " 1    95  15.0   95  51.0   95    3.35   95   3.30   95  \n",
       " 2    90  14.0   90  49.0   90    3.40   90   3.36   90  \n",
       " 3    85  13.0   85  46.0   85    3.47   85   3.43   85  \n",
       " 4    80  12.0   80  43.0   80    3.55   80   3.50   80  \n",
       " 5    78   NaN   78  41.0   78    4.00   78   3.55   78  \n",
       " 6    76  11.0   76  39.0   76    4.05   76   4.00   76  \n",
       " 7    74   NaN   74  37.0   74    4.10   74   4.05   74  \n",
       " 8    72  10.0   72  35.0   72    4.15   72   4.10   72  \n",
       " 9    70   NaN   70  33.0   70    4.20   70   4.15   70  \n",
       " 10   68   9.0   68  31.0   68    4.25   68   4.20   68  \n",
       " 11   66   NaN   66  29.0   66    4.30   66   4.25   66  \n",
       " 12   64   8.0   64  27.0   64    4.35   64   4.30   64  \n",
       " 13   62   NaN   62  25.0   62    4.40   62   4.35   62  \n",
       " 14   60   7.0   60  23.0   60    4.45   60   4.40   60  \n",
       " 15   50   6.0   50  21.0   50    5.05   50   4.50   50  \n",
       " 16   40   5.0   40  19.0   40    5.25   40   5.00   40  \n",
       " 17   30   4.0   30  17.0   30    5.45   30   5.10   30  \n",
       " 18   20   3.0   20  15.0   20    6.05   20   5.20   20  \n",
       " 19   10   2.0   10  13.0   10    6.25   10   5.30   10  \n",
       " \n",
       " [20 rows x 24 columns])"
      ]
     },
     "execution_count": 245,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#(2)将男1000米跑和女800米跑成绩的分、秒符号转换一下\n",
    "df_tc['男1000米跑','成绩'] = df_tc['男1000米跑','成绩'].map(lambda x:x.replace(\"'\",'.').replace('\"',''))\n",
    "df_tc['女800米跑','成绩'] = df_tc['女800米跑','成绩'].map(lambda x:x.replace(\"'\",'.').replace('\"',''))\n",
    "#将所有成绩字段数值转换为float类型\n",
    "for name,item in df_tc.columns:\n",
    "    if item=='成绩':\n",
    "        df_tc[name,item] = df_tc[name,item].astype(float)\n",
    "df_tc.dtypes,df_tc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "balanced-sleep",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "班级           int64\n",
       "性别          object\n",
       "男1000米跑    float64\n",
       "男50米跑      float64\n",
       "男跳远        float64\n",
       "男体前屈       float64\n",
       "男引体        float64\n",
       "男肺活量       float64\n",
       "身高         float64\n",
       "体重         float64\n",
       "BMI        float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#3.把其他的成绩全都变成float类型---男生数据\n",
    "df_male.iloc[:,2:] = df_male.iloc[:,2:].astype(float).round(2)\n",
    "df_male.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "id": "unexpected-radical",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "班级          int64\n",
       "性别         object\n",
       "女800米跑    float64\n",
       "女50米跑     float64\n",
       "女跳远       float64\n",
       "女体前屈      float64\n",
       "女仰卧       float64\n",
       "女肺活量      float64\n",
       "身高        float64\n",
       "体重        float64\n",
       "BMI       float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 192,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# ---女生数据\n",
    "df_female.iloc[:,2:] = df_female.iloc[:,2:].astype(float).round(2)\n",
    "df_female.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 234,
   "id": "ordinary-federal",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_male_cp = df_male.copy()\n",
    "df_female_cp = df_female.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "id": "accredited-account",
   "metadata": {},
   "outputs": [],
   "source": [
    "#定义跑步类项目的分数转换闭包函数\n",
    "def convert_asc1(a):\n",
    "    def convert_asc2(x):\n",
    "        for i in list(df_tc[a,'成绩']):\n",
    "            if x ==0:\n",
    "                return 0\n",
    "            if x == float(i):\n",
    "                return df_tc[a,'分数'][list(df_tc[a,'成绩']).index(x)]\n",
    "            if x<float(i):\n",
    "                return df_tc[a,'分数'][list(df_tc[a,'成绩']).index(i)]\n",
    "    return convert_asc2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "id": "optimum-accreditation",
   "metadata": {},
   "outputs": [],
   "source": [
    "#定义非跑步类项目的分数转换闭包函数\n",
    "def convert_desc1(a):\n",
    "    def convert_desc2(x):\n",
    "        for i in list(df_tc[a,'成绩']):\n",
    "            if x ==0:\n",
    "                return 0\n",
    "            if x == float(i):\n",
    "                return df_tc[a,'分数'][list(df_tc[a,'成绩']).index(x)]\n",
    "            if x>float(i):\n",
    "                return df_tc[a,'分数'][list(df_tc[a,'成绩']).index(i)]\n",
    "    return convert_desc2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "id": "entitled-utility",
   "metadata": {},
   "outputs": [],
   "source": [
    "convert_asc = convert_asc1('男50米跑')\n",
    "df_male_cp['男50米跑分数'] = df_male_cp['男50米跑'].map(convert_asc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 235,
   "id": "alpha-steal",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>班级</th>\n",
       "      <th>性别</th>\n",
       "      <th>男1000米跑</th>\n",
       "      <th>男50米跑</th>\n",
       "      <th>男跳远</th>\n",
       "      <th>男体前屈</th>\n",
       "      <th>男引体</th>\n",
       "      <th>男肺活量</th>\n",
       "      <th>身高</th>\n",
       "      <th>体重</th>\n",
       "      <th>BMI</th>\n",
       "      <th>男1000米跑分数</th>\n",
       "      <th>男50米跑分数</th>\n",
       "      <th>男跳远分数</th>\n",
       "      <th>男体前屈分数</th>\n",
       "      <th>男引体分数</th>\n",
       "      <th>男肺活量分数</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.13</td>\n",
       "      <td>8.88</td>\n",
       "      <td>195.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2785.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>72.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>72</td>\n",
       "      <td>66</td>\n",
       "      <td>60</td>\n",
       "      <td>74.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.16</td>\n",
       "      <td>7.70</td>\n",
       "      <td>225.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3133.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>52.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>70</td>\n",
       "      <td>78</td>\n",
       "      <td>74</td>\n",
       "      <td>74.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>68.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.09</td>\n",
       "      <td>8.45</td>\n",
       "      <td>218.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3901.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>46.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>74</td>\n",
       "      <td>70</td>\n",
       "      <td>70</td>\n",
       "      <td>78.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.21</td>\n",
       "      <td>8.05</td>\n",
       "      <td>206.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4946.0</td>\n",
       "      <td>183.0</td>\n",
       "      <td>79.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>68</td>\n",
       "      <td>74</td>\n",
       "      <td>64</td>\n",
       "      <td>76.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>3.44</td>\n",
       "      <td>7.52</td>\n",
       "      <td>210.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>3538.0</td>\n",
       "      <td>171.0</td>\n",
       "      <td>54.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>85</td>\n",
       "      <td>78</td>\n",
       "      <td>66</td>\n",
       "      <td>76.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>74.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>3.49</td>\n",
       "      <td>7.94</td>\n",
       "      <td>190.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3970.0</td>\n",
       "      <td>175.0</td>\n",
       "      <td>66.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>80</td>\n",
       "      <td>74</td>\n",
       "      <td>50</td>\n",
       "      <td>90.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>3.54</td>\n",
       "      <td>7.75</td>\n",
       "      <td>186.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3710.0</td>\n",
       "      <td>173.0</td>\n",
       "      <td>53.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>80</td>\n",
       "      <td>76</td>\n",
       "      <td>40</td>\n",
       "      <td>74.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>78.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.30</td>\n",
       "      <td>8.06</td>\n",
       "      <td>195.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5578.0</td>\n",
       "      <td>178.0</td>\n",
       "      <td>83.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>66</td>\n",
       "      <td>74</td>\n",
       "      <td>60</td>\n",
       "      <td>62.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.01</td>\n",
       "      <td>7.75</td>\n",
       "      <td>220.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3821.0</td>\n",
       "      <td>175.0</td>\n",
       "      <td>66.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>76</td>\n",
       "      <td>76</td>\n",
       "      <td>72</td>\n",
       "      <td>80.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.12</td>\n",
       "      <td>7.38</td>\n",
       "      <td>245.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>4423.0</td>\n",
       "      <td>167.0</td>\n",
       "      <td>53.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>72</td>\n",
       "      <td>85</td>\n",
       "      <td>85</td>\n",
       "      <td>80.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>95.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.00</td>\n",
       "      <td>7.82</td>\n",
       "      <td>219.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>4031.0</td>\n",
       "      <td>173.0</td>\n",
       "      <td>57.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>78</td>\n",
       "      <td>76</td>\n",
       "      <td>72</td>\n",
       "      <td>76.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.13</td>\n",
       "      <td>7.37</td>\n",
       "      <td>228.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>4354.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>54.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>72</td>\n",
       "      <td>85</td>\n",
       "      <td>76</td>\n",
       "      <td>70.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>90.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>3.45</td>\n",
       "      <td>7.66</td>\n",
       "      <td>202.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2238.0</td>\n",
       "      <td>179.0</td>\n",
       "      <td>61.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>85</td>\n",
       "      <td>78</td>\n",
       "      <td>62</td>\n",
       "      <td>68.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>3.46</td>\n",
       "      <td>7.66</td>\n",
       "      <td>245.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4811.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>63.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>85</td>\n",
       "      <td>78</td>\n",
       "      <td>85</td>\n",
       "      <td>62.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>3.57</td>\n",
       "      <td>7.60</td>\n",
       "      <td>192.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4147.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>59.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>78</td>\n",
       "      <td>78</td>\n",
       "      <td>50</td>\n",
       "      <td>68.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>85.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.18</td>\n",
       "      <td>8.14</td>\n",
       "      <td>210.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4241.0</td>\n",
       "      <td>179.0</td>\n",
       "      <td>61.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>70</td>\n",
       "      <td>72</td>\n",
       "      <td>66</td>\n",
       "      <td>70.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>85.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>3.32</td>\n",
       "      <td>7.20</td>\n",
       "      <td>255.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>5324.0</td>\n",
       "      <td>183.0</td>\n",
       "      <td>63.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>95</td>\n",
       "      <td>95</td>\n",
       "      <td>95</td>\n",
       "      <td>95.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>3.56</td>\n",
       "      <td>8.15</td>\n",
       "      <td>207.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>4363.0</td>\n",
       "      <td>173.0</td>\n",
       "      <td>60.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>78</td>\n",
       "      <td>72</td>\n",
       "      <td>66</td>\n",
       "      <td>76.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>90.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>3.47</td>\n",
       "      <td>8.15</td>\n",
       "      <td>202.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>5364.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>85</td>\n",
       "      <td>72</td>\n",
       "      <td>62</td>\n",
       "      <td>76.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>3.53</td>\n",
       "      <td>7.85</td>\n",
       "      <td>210.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3445.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>56.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>80</td>\n",
       "      <td>76</td>\n",
       "      <td>66</td>\n",
       "      <td>62.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>74.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>3.57</td>\n",
       "      <td>7.85</td>\n",
       "      <td>220.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5670.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>55.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>78</td>\n",
       "      <td>76</td>\n",
       "      <td>72</td>\n",
       "      <td>70.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>3.42</td>\n",
       "      <td>7.23</td>\n",
       "      <td>212.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>5709.0</td>\n",
       "      <td>185.0</td>\n",
       "      <td>72.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>85</td>\n",
       "      <td>90</td>\n",
       "      <td>68</td>\n",
       "      <td>74.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.30</td>\n",
       "      <td>7.68</td>\n",
       "      <td>218.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4780.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>83.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>66</td>\n",
       "      <td>78</td>\n",
       "      <td>70</td>\n",
       "      <td>80.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.14</td>\n",
       "      <td>8.30</td>\n",
       "      <td>206.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3358.0</td>\n",
       "      <td>173.0</td>\n",
       "      <td>46.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>72</td>\n",
       "      <td>72</td>\n",
       "      <td>64</td>\n",
       "      <td>80.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>72.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.04</td>\n",
       "      <td>8.15</td>\n",
       "      <td>205.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3494.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>48.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>76</td>\n",
       "      <td>72</td>\n",
       "      <td>64</td>\n",
       "      <td>70.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>74.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.04</td>\n",
       "      <td>7.55</td>\n",
       "      <td>190.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3286.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>50.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>76</td>\n",
       "      <td>78</td>\n",
       "      <td>50</td>\n",
       "      <td>74.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>70.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.02</td>\n",
       "      <td>7.55</td>\n",
       "      <td>240.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>4483.0</td>\n",
       "      <td>171.0</td>\n",
       "      <td>58.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>76</td>\n",
       "      <td>78</td>\n",
       "      <td>80</td>\n",
       "      <td>64.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>95.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>3.57</td>\n",
       "      <td>7.89</td>\n",
       "      <td>220.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>4254.0</td>\n",
       "      <td>166.0</td>\n",
       "      <td>54.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>78</td>\n",
       "      <td>76</td>\n",
       "      <td>72</td>\n",
       "      <td>70.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>85.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.16</td>\n",
       "      <td>8.19</td>\n",
       "      <td>212.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3498.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>70</td>\n",
       "      <td>72</td>\n",
       "      <td>68</td>\n",
       "      <td>100.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>74.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>447</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4.15</td>\n",
       "      <td>8.36</td>\n",
       "      <td>217.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5452.0</td>\n",
       "      <td>175.0</td>\n",
       "      <td>83.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>72</td>\n",
       "      <td>70</td>\n",
       "      <td>70</td>\n",
       "      <td>90.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>448</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4.36</td>\n",
       "      <td>7.22</td>\n",
       "      <td>267.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>5555.0</td>\n",
       "      <td>179.0</td>\n",
       "      <td>62.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>62</td>\n",
       "      <td>90</td>\n",
       "      <td>100</td>\n",
       "      <td>66.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>449</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>3.48</td>\n",
       "      <td>7.37</td>\n",
       "      <td>225.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>5519.0</td>\n",
       "      <td>176.0</td>\n",
       "      <td>62.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>80</td>\n",
       "      <td>85</td>\n",
       "      <td>74</td>\n",
       "      <td>80.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>450</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>3.58</td>\n",
       "      <td>7.37</td>\n",
       "      <td>236.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>4246.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>60.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>78</td>\n",
       "      <td>85</td>\n",
       "      <td>80</td>\n",
       "      <td>74.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>85.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>451</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4.02</td>\n",
       "      <td>8.00</td>\n",
       "      <td>210.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4034.0</td>\n",
       "      <td>167.0</td>\n",
       "      <td>56.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>76</td>\n",
       "      <td>74</td>\n",
       "      <td>66</td>\n",
       "      <td>85.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>452</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4.02</td>\n",
       "      <td>8.00</td>\n",
       "      <td>196.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5738.0</td>\n",
       "      <td>172.0</td>\n",
       "      <td>66.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>76</td>\n",
       "      <td>74</td>\n",
       "      <td>60</td>\n",
       "      <td>74.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>453</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4.38</td>\n",
       "      <td>8.09</td>\n",
       "      <td>223.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>5168.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>62</td>\n",
       "      <td>74</td>\n",
       "      <td>74</td>\n",
       "      <td>90.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>454</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>455</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4.20</td>\n",
       "      <td>8.37</td>\n",
       "      <td>208.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>5677.0</td>\n",
       "      <td>172.0</td>\n",
       "      <td>63.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>70</td>\n",
       "      <td>70</td>\n",
       "      <td>66</td>\n",
       "      <td>90.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4.26</td>\n",
       "      <td>7.89</td>\n",
       "      <td>232.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7052.0</td>\n",
       "      <td>180.0</td>\n",
       "      <td>82.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>66</td>\n",
       "      <td>76</td>\n",
       "      <td>78</td>\n",
       "      <td>90.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4.09</td>\n",
       "      <td>8.46</td>\n",
       "      <td>205.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4208.0</td>\n",
       "      <td>171.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>74</td>\n",
       "      <td>70</td>\n",
       "      <td>64</td>\n",
       "      <td>80.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>85.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>458</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>3.49</td>\n",
       "      <td>7.66</td>\n",
       "      <td>232.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>5897.0</td>\n",
       "      <td>175.0</td>\n",
       "      <td>56.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>80</td>\n",
       "      <td>78</td>\n",
       "      <td>78</td>\n",
       "      <td>74.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>459</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4.36</td>\n",
       "      <td>7.77</td>\n",
       "      <td>236.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>5158.0</td>\n",
       "      <td>176.0</td>\n",
       "      <td>55.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>62</td>\n",
       "      <td>76</td>\n",
       "      <td>80</td>\n",
       "      <td>74.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>460</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4.37</td>\n",
       "      <td>8.27</td>\n",
       "      <td>208.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6311.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>95.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>62</td>\n",
       "      <td>72</td>\n",
       "      <td>66</td>\n",
       "      <td>80.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>461</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>3.44</td>\n",
       "      <td>8.27</td>\n",
       "      <td>217.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5075.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>57.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>85</td>\n",
       "      <td>72</td>\n",
       "      <td>70</td>\n",
       "      <td>80.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>462</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>3.55</td>\n",
       "      <td>7.98</td>\n",
       "      <td>212.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>5564.0</td>\n",
       "      <td>168.0</td>\n",
       "      <td>54.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>80</td>\n",
       "      <td>74</td>\n",
       "      <td>68</td>\n",
       "      <td>90.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>463</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>3.41</td>\n",
       "      <td>7.57</td>\n",
       "      <td>225.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5599.0</td>\n",
       "      <td>181.0</td>\n",
       "      <td>74.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>85</td>\n",
       "      <td>78</td>\n",
       "      <td>74</td>\n",
       "      <td>70.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>464</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>5.29</td>\n",
       "      <td>9.02</td>\n",
       "      <td>210.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6712.0</td>\n",
       "      <td>183.0</td>\n",
       "      <td>95.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>30</td>\n",
       "      <td>64</td>\n",
       "      <td>66</td>\n",
       "      <td>74.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>465</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4.11</td>\n",
       "      <td>7.51</td>\n",
       "      <td>238.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>5590.0</td>\n",
       "      <td>179.0</td>\n",
       "      <td>67.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>72</td>\n",
       "      <td>78</td>\n",
       "      <td>80</td>\n",
       "      <td>90.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>466</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4.56</td>\n",
       "      <td>7.42</td>\n",
       "      <td>252.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>5159.0</td>\n",
       "      <td>180.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>50</td>\n",
       "      <td>80</td>\n",
       "      <td>90</td>\n",
       "      <td>70.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>467</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>3.54</td>\n",
       "      <td>7.96</td>\n",
       "      <td>229.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>5254.0</td>\n",
       "      <td>182.0</td>\n",
       "      <td>64.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>80</td>\n",
       "      <td>74</td>\n",
       "      <td>76</td>\n",
       "      <td>78.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>468</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>469</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4.40</td>\n",
       "      <td>8.02</td>\n",
       "      <td>180.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4592.0</td>\n",
       "      <td>187.0</td>\n",
       "      <td>64.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>62</td>\n",
       "      <td>74</td>\n",
       "      <td>30</td>\n",
       "      <td>70.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>470</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>3.54</td>\n",
       "      <td>7.51</td>\n",
       "      <td>238.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>5572.0</td>\n",
       "      <td>176.0</td>\n",
       "      <td>59.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>80</td>\n",
       "      <td>78</td>\n",
       "      <td>80</td>\n",
       "      <td>76.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>471</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4.58</td>\n",
       "      <td>8.76</td>\n",
       "      <td>200.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>4533.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>51.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>50</td>\n",
       "      <td>66</td>\n",
       "      <td>62</td>\n",
       "      <td>74.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>95.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>472</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4.23</td>\n",
       "      <td>8.27</td>\n",
       "      <td>208.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4647.0</td>\n",
       "      <td>176.0</td>\n",
       "      <td>69.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>68</td>\n",
       "      <td>72</td>\n",
       "      <td>66</td>\n",
       "      <td>72.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>473</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>5.19</td>\n",
       "      <td>9.55</td>\n",
       "      <td>210.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7042.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40</td>\n",
       "      <td>50</td>\n",
       "      <td>66</td>\n",
       "      <td>80.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>474</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>3.25</td>\n",
       "      <td>7.50</td>\n",
       "      <td>252.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>5755.0</td>\n",
       "      <td>181.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100</td>\n",
       "      <td>80</td>\n",
       "      <td>90</td>\n",
       "      <td>76.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>475</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4.39</td>\n",
       "      <td>7.81</td>\n",
       "      <td>208.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>5688.0</td>\n",
       "      <td>172.0</td>\n",
       "      <td>51.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>62</td>\n",
       "      <td>76</td>\n",
       "      <td>66</td>\n",
       "      <td>78.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>476</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>477 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     班级 性别  男1000米跑  男50米跑    男跳远  男体前屈   男引体    男肺活量     身高    体重  BMI  \\\n",
       "0     1  男     4.13   8.88  195.0  12.0   1.0  2785.0  170.0  72.6  0.0   \n",
       "1     1  男     4.16   7.70  225.0  11.0   7.0  3133.0  174.0  52.7  0.0   \n",
       "2     1  男     4.09   8.45  218.0  14.0   1.0  3901.0  169.0  46.5  0.0   \n",
       "3     1  男     4.21   8.05  206.0  13.0   1.0  4946.0  183.0  79.7  0.0   \n",
       "4     1  男     3.44   7.52  210.0  13.0   9.0  3538.0  171.0  54.7  0.0   \n",
       "5     1  男     3.49   7.94  190.0  20.0   7.0  3970.0  175.0  66.4  0.0   \n",
       "6     1  男     3.54   7.75  186.0  11.0   7.0  3710.0  173.0  53.9  0.0   \n",
       "7     1  男     4.30   8.06  195.0   3.0   1.0  5578.0  178.0  83.1  0.0   \n",
       "8     1  男     4.01   7.75  220.0  15.0  10.0  3821.0  175.0  66.5  0.0   \n",
       "9     1  男     4.12   7.38  245.0  17.0  11.0  4423.0  167.0  53.9  0.0   \n",
       "10    1  男     4.00   7.82  219.0  13.0  11.0  4031.0  173.0  57.4  0.0   \n",
       "11    1  男     4.13   7.37  228.0   9.0  15.0  4354.0  163.0  54.6  0.0   \n",
       "12    1  男     3.45   7.66  202.0   7.0   3.0  2238.0  179.0  61.1  0.0   \n",
       "13    1  男     3.46   7.66  245.0   3.0   7.0  4811.0  177.0  63.9  0.0   \n",
       "14    1  男     0.00   0.00    0.0   0.0   0.0     0.0    0.0   0.0  0.0   \n",
       "15    1  男     3.57   7.60  192.0   7.0   5.0  4147.0  174.0  59.2  0.0   \n",
       "16    1  男     4.18   8.14  210.0   8.0   4.0  4241.0  179.0  61.9  0.0   \n",
       "17    1  男     3.32   7.20  255.0  22.0  12.0  5324.0  183.0  63.4  0.0   \n",
       "18    1  男     3.56   8.15  207.0  13.0  12.0  4363.0  173.0  60.5  0.0   \n",
       "19    1  男     3.47   8.15  202.0  13.0  16.0  5364.0  174.0  56.0  0.0   \n",
       "20    1  男     3.53   7.85  210.0   3.0   7.0  3445.0  177.0  56.9  0.0   \n",
       "21    1  男     3.57   7.85  220.0   9.0   2.0  5670.0  177.0  55.5  0.0   \n",
       "22    1  男     3.42   7.23  212.0  12.0  15.0  5709.0  185.0  72.3  0.0   \n",
       "23    1  男     4.30   7.68  218.0  15.0   3.0  4780.0  177.0  83.7  0.0   \n",
       "24    1  男     4.14   8.30  206.0  15.0   1.0  3358.0  173.0  46.6  0.0   \n",
       "25    1  男     4.04   8.15  205.0   9.0   5.0  3494.0  169.0  48.3  0.0   \n",
       "26    1  男     4.04   7.55  190.0  12.0   5.0  3286.0  169.0  50.1  0.0   \n",
       "27    1  男     4.02   7.55  240.0   5.0  12.0  4483.0  171.0  58.4  0.0   \n",
       "28    1  男     3.57   7.89  220.0   9.0  11.0  4254.0  166.0  54.8  0.0   \n",
       "29    1  男     4.16   8.19  212.0  27.0   7.0  3498.0  169.0  68.0  0.0   \n",
       "..   .. ..      ...    ...    ...   ...   ...     ...    ...   ...  ...   \n",
       "447  17  男     4.15   8.36  217.0  20.0   2.0  5452.0  175.0  83.4  0.0   \n",
       "448  17  男     4.36   7.22  267.0   6.0  11.0  5555.0  179.0  62.2  0.0   \n",
       "449  17  男     3.48   7.37  225.0  17.0  12.0  5519.0  176.0  62.2  0.0   \n",
       "450  17  男     3.58   7.37  236.0  12.0  11.0  4246.0  169.0  60.1  0.0   \n",
       "451  17  男     4.02   8.00  210.0  18.0   7.0  4034.0  167.0  56.8  0.0   \n",
       "452  17  男     4.02   8.00  196.0  12.0   4.0  5738.0  172.0  66.5  0.0   \n",
       "453  17  男     4.38   8.09  223.0  21.0   8.0  5168.0  169.0  78.0  0.0   \n",
       "454  17  男     0.00   0.00    0.0   0.0   0.0     0.0    0.0   0.0  0.0   \n",
       "455  17  男     4.20   8.37  208.0  21.0   8.0  5677.0  172.0  63.7  0.0   \n",
       "456  17  男     4.26   7.89  232.0  21.0   8.0  7052.0  180.0  82.9  0.0   \n",
       "457  17  男     4.09   8.46  205.0  15.0   7.0  4208.0  171.0  61.0  0.0   \n",
       "458  17  男     3.49   7.66  232.0  11.0  10.0  5897.0  175.0  56.1  0.0   \n",
       "459  17  男     4.36   7.77  236.0  11.0  20.0  5158.0  176.0  55.2  0.0   \n",
       "460  17  男     4.37   8.27  208.0  17.0   1.0  6311.0  177.0  95.6  0.0   \n",
       "461  17  男     3.44   8.27  217.0  15.0   7.0  5075.0  170.0  57.6  0.0   \n",
       "462  17  男     3.55   7.98  212.0  20.0  10.0  5564.0  168.0  54.5  0.0   \n",
       "463  17  男     3.41   7.57  225.0   9.0   5.0  5599.0  181.0  74.8  0.0   \n",
       "464  17  男     5.29   9.02  210.0  12.0   0.0  6712.0  183.0  95.9  0.0   \n",
       "465  17  男     4.11   7.51  238.0  21.0  14.0  5590.0  179.0  67.7  0.0   \n",
       "466  17  男     4.56   7.42  252.0   9.0  13.0  5159.0  180.0  70.0  0.0   \n",
       "467  17  男     3.54   7.96  229.0  14.0   9.0  5254.0  182.0  64.1  0.0   \n",
       "468  17  男     0.00   0.00    0.0   0.0   0.0     0.0    0.0   0.0  0.0   \n",
       "469  17  男     4.40   8.02  180.0   8.0   1.0  4592.0  187.0  64.6  0.0   \n",
       "470  17  男     3.54   7.51  238.0  13.0  11.0  5572.0  176.0  59.5  0.0   \n",
       "471  17  男     4.58   8.76  200.0  12.0   9.0  4533.0  169.0  51.3  0.0   \n",
       "472  17  男     4.23   8.27  208.0  10.0   0.0  4647.0  176.0  69.5  0.0   \n",
       "473  17  男     5.19   9.55  210.0  15.0   6.0  7042.0  177.0  76.0  0.0   \n",
       "474  17  男     3.25   7.50  252.0  13.0  13.0  5755.0  181.0  65.0  0.0   \n",
       "475  17  男     4.39   7.81  208.0  14.0  11.0  5688.0  172.0  51.7  0.0   \n",
       "476  17  男     0.00   0.00    0.0   0.0   0.0     0.0    0.0   0.0  0.0   \n",
       "\n",
       "     男1000米跑分数  男50米跑分数  男跳远分数  男体前屈分数  男引体分数  男肺活量分数  \n",
       "0           72       66     60    74.0    NaN    62.0  \n",
       "1           70       78     74    74.0   60.0    68.0  \n",
       "2           74       70     70    78.0    NaN    80.0  \n",
       "3           68       74     64    76.0    NaN   100.0  \n",
       "4           85       78     66    76.0   68.0    74.0  \n",
       "5           80       74     50    90.0   60.0    80.0  \n",
       "6           80       76     40    74.0   60.0    78.0  \n",
       "7           66       74     60    62.0    NaN   100.0  \n",
       "8           76       76     72    80.0   72.0    80.0  \n",
       "9           72       85     85    80.0   76.0    95.0  \n",
       "10          78       76     72    76.0   76.0    80.0  \n",
       "11          72       85     76    70.0   95.0    90.0  \n",
       "12          85       78     62    68.0   20.0    30.0  \n",
       "13          85       78     85    62.0   60.0   100.0  \n",
       "14           0        0      0     0.0    0.0     0.0  \n",
       "15          78       78     50    68.0   40.0    85.0  \n",
       "16          70       72     66    70.0   30.0    85.0  \n",
       "17          95       95     95    95.0   80.0   100.0  \n",
       "18          78       72     66    76.0   80.0    90.0  \n",
       "19          85       72     62    76.0  100.0   100.0  \n",
       "20          80       76     66    62.0   60.0    74.0  \n",
       "21          78       76     72    70.0   10.0   100.0  \n",
       "22          85       90     68    74.0   95.0   100.0  \n",
       "23          66       78     70    80.0   20.0   100.0  \n",
       "24          72       72     64    80.0    NaN    72.0  \n",
       "25          76       72     64    70.0   40.0    74.0  \n",
       "26          76       78     50    74.0   40.0    70.0  \n",
       "27          76       78     80    64.0   80.0    95.0  \n",
       "28          78       76     72    70.0   76.0    85.0  \n",
       "29          70       72     68   100.0   60.0    74.0  \n",
       "..         ...      ...    ...     ...    ...     ...  \n",
       "447         72       70     70    90.0   10.0   100.0  \n",
       "448         62       90    100    66.0   76.0   100.0  \n",
       "449         80       85     74    80.0   80.0   100.0  \n",
       "450         78       85     80    74.0   76.0    85.0  \n",
       "451         76       74     66    85.0   60.0    80.0  \n",
       "452         76       74     60    74.0   30.0   100.0  \n",
       "453         62       74     74    90.0   64.0   100.0  \n",
       "454          0        0      0     0.0    0.0     0.0  \n",
       "455         70       70     66    90.0   64.0   100.0  \n",
       "456         66       76     78    90.0   64.0   100.0  \n",
       "457         74       70     64    80.0   60.0    85.0  \n",
       "458         80       78     78    74.0   72.0   100.0  \n",
       "459         62       76     80    74.0  100.0   100.0  \n",
       "460         62       72     66    80.0    NaN   100.0  \n",
       "461         85       72     70    80.0   60.0   100.0  \n",
       "462         80       74     68    90.0   72.0   100.0  \n",
       "463         85       78     74    70.0   40.0   100.0  \n",
       "464         30       64     66    74.0    0.0   100.0  \n",
       "465         72       78     80    90.0   90.0   100.0  \n",
       "466         50       80     90    70.0   85.0   100.0  \n",
       "467         80       74     76    78.0   68.0   100.0  \n",
       "468          0        0      0     0.0    0.0     0.0  \n",
       "469         62       74     30    70.0    NaN   100.0  \n",
       "470         80       78     80    76.0   76.0   100.0  \n",
       "471         50       66     62    74.0   68.0    95.0  \n",
       "472         68       72     66    72.0    0.0   100.0  \n",
       "473         40       50     66    80.0   50.0   100.0  \n",
       "474        100       80     90    76.0   85.0   100.0  \n",
       "475         62       76     66    78.0   76.0   100.0  \n",
       "476          0        0      0     0.0    0.0     0.0  \n",
       "\n",
       "[477 rows x 17 columns]"
      ]
     },
     "execution_count": 235,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#男生所有项目转换为相应分数，跑步类（越小越好）；跳远、体前屈（越大越好）\n",
    "for i in df_male_cp.columns[2:8]:\n",
    "    if '跑' in i:\n",
    "        convert_asc = convert_asc1(i)\n",
    "        df_male_cp[i+'分数'] = df_male_cp[i].map(convert_asc)\n",
    "    else:\n",
    "        convert_desc = convert_desc1(i)\n",
    "        df_male_cp[i+'分数'] = df_male_cp[i].map(convert_desc)\n",
    "df_male_cp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 226,
   "id": "floating-sleeve",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>班级</th>\n",
       "      <th>性别</th>\n",
       "      <th>女800米跑</th>\n",
       "      <th>女50米跑</th>\n",
       "      <th>女跳远</th>\n",
       "      <th>女体前屈</th>\n",
       "      <th>女仰卧</th>\n",
       "      <th>女肺活量</th>\n",
       "      <th>身高</th>\n",
       "      <th>体重</th>\n",
       "      <th>BMI</th>\n",
       "      <th>女800米跑分数</th>\n",
       "      <th>女50米跑分数</th>\n",
       "      <th>女跳远分数</th>\n",
       "      <th>女体前屈分数</th>\n",
       "      <th>女仰卧分数</th>\n",
       "      <th>女肺活量分数</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.22</td>\n",
       "      <td>9.32</td>\n",
       "      <td>185.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>3775.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>51.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>76</td>\n",
       "      <td>85.0</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>4.59</td>\n",
       "      <td>11.44</td>\n",
       "      <td>148.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>3683.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>66.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>66</td>\n",
       "      <td>66.0</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.46</td>\n",
       "      <td>13.40</td>\n",
       "      <td>150.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>3331.0</td>\n",
       "      <td>157.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.0</td>\n",
       "      <td>64</td>\n",
       "      <td>76.0</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.39</td>\n",
       "      <td>9.52</td>\n",
       "      <td>172.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>3701.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>50.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>90</td>\n",
       "      <td>85.0</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.43</td>\n",
       "      <td>9.79</td>\n",
       "      <td>145.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>3592.0</td>\n",
       "      <td>167.0</td>\n",
       "      <td>63.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>64</td>\n",
       "      <td>70.0</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.47</td>\n",
       "      <td>10.01</td>\n",
       "      <td>158.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>3483.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>78</td>\n",
       "      <td>72.0</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>4.69</td>\n",
       "      <td>10.42</td>\n",
       "      <td>150.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>3754.0</td>\n",
       "      <td>158.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>80</td>\n",
       "      <td>68.0</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>4.26</td>\n",
       "      <td>10.03</td>\n",
       "      <td>165.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>4520.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>48.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>76</td>\n",
       "      <td>72.0</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.48</td>\n",
       "      <td>10.59</td>\n",
       "      <td>159.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>3662.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>64</td>\n",
       "      <td>85.0</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>4.18</td>\n",
       "      <td>10.30</td>\n",
       "      <td>161.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>3955.0</td>\n",
       "      <td>171.0</td>\n",
       "      <td>62.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>90</td>\n",
       "      <td>78.0</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.38</td>\n",
       "      <td>9.37</td>\n",
       "      <td>162.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>4374.0</td>\n",
       "      <td>157.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>76</td>\n",
       "      <td>80.0</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>4.11</td>\n",
       "      <td>10.68</td>\n",
       "      <td>150.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>4488.0</td>\n",
       "      <td>175.0</td>\n",
       "      <td>53.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>76</td>\n",
       "      <td>80.0</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.45</td>\n",
       "      <td>9.74</td>\n",
       "      <td>168.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>4176.0</td>\n",
       "      <td>164.0</td>\n",
       "      <td>49.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>90</td>\n",
       "      <td>72.0</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.59</td>\n",
       "      <td>10.83</td>\n",
       "      <td>140.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>3497.0</td>\n",
       "      <td>159.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>62</td>\n",
       "      <td>78.0</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.32</td>\n",
       "      <td>10.25</td>\n",
       "      <td>167.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>4094.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>56.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>80</td>\n",
       "      <td>68.0</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.40</td>\n",
       "      <td>10.25</td>\n",
       "      <td>152.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>3403.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>50.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>90</td>\n",
       "      <td>80.0</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.58</td>\n",
       "      <td>9.85</td>\n",
       "      <td>160.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>4433.0</td>\n",
       "      <td>172.0</td>\n",
       "      <td>77.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>74</td>\n",
       "      <td>66.0</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.36</td>\n",
       "      <td>9.41</td>\n",
       "      <td>182.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>4520.0</td>\n",
       "      <td>167.0</td>\n",
       "      <td>61.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>95</td>\n",
       "      <td>66.0</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.48</td>\n",
       "      <td>9.44</td>\n",
       "      <td>176.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>4209.0</td>\n",
       "      <td>157.0</td>\n",
       "      <td>57.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>78</td>\n",
       "      <td>80.0</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.24</td>\n",
       "      <td>9.07</td>\n",
       "      <td>185.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>2887.0</td>\n",
       "      <td>167.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>90</td>\n",
       "      <td>70.0</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.48</td>\n",
       "      <td>10.00</td>\n",
       "      <td>160.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>3016.0</td>\n",
       "      <td>157.0</td>\n",
       "      <td>55.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>80</td>\n",
       "      <td>66.0</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>4.09</td>\n",
       "      <td>10.00</td>\n",
       "      <td>172.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>3949.0</td>\n",
       "      <td>172.0</td>\n",
       "      <td>57.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>64</td>\n",
       "      <td>78.0</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.30</td>\n",
       "      <td>9.74</td>\n",
       "      <td>155.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>3574.0</td>\n",
       "      <td>155.0</td>\n",
       "      <td>52.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>68</td>\n",
       "      <td>72.0</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.35</td>\n",
       "      <td>9.74</td>\n",
       "      <td>180.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>3285.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>51.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>80</td>\n",
       "      <td>70.0</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>4.03</td>\n",
       "      <td>10.80</td>\n",
       "      <td>151.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>3503.0</td>\n",
       "      <td>162.0</td>\n",
       "      <td>50.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>70</td>\n",
       "      <td>76.0</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.40</td>\n",
       "      <td>9.95</td>\n",
       "      <td>168.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>4586.0</td>\n",
       "      <td>166.0</td>\n",
       "      <td>53.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>76</td>\n",
       "      <td>78.0</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.58</td>\n",
       "      <td>9.68</td>\n",
       "      <td>186.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>3942.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>51.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>90</td>\n",
       "      <td>76.0</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.49</td>\n",
       "      <td>8.77</td>\n",
       "      <td>185.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>3171.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>46.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>80</td>\n",
       "      <td>76.0</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2</td>\n",
       "      <td>女</td>\n",
       "      <td>0.00</td>\n",
       "      <td>10.10</td>\n",
       "      <td>150.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>2673.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>100</td>\n",
       "      <td>64.0</td>\n",
       "      <td>78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2</td>\n",
       "      <td>女</td>\n",
       "      <td>4.19</td>\n",
       "      <td>9.90</td>\n",
       "      <td>151.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>3410.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>65.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>85</td>\n",
       "      <td>68.0</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>563</th>\n",
       "      <td>16</td>\n",
       "      <td>女</td>\n",
       "      <td>4.12</td>\n",
       "      <td>10.09</td>\n",
       "      <td>162.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>2802.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>76</td>\n",
       "      <td>85.0</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564</th>\n",
       "      <td>16</td>\n",
       "      <td>女</td>\n",
       "      <td>3.36</td>\n",
       "      <td>9.35</td>\n",
       "      <td>182.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>2390.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>76</td>\n",
       "      <td>76.0</td>\n",
       "      <td>72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>565</th>\n",
       "      <td>16</td>\n",
       "      <td>女</td>\n",
       "      <td>4.01</td>\n",
       "      <td>9.97</td>\n",
       "      <td>156.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>2668.0</td>\n",
       "      <td>167.0</td>\n",
       "      <td>51.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>70</td>\n",
       "      <td>76.0</td>\n",
       "      <td>78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>566</th>\n",
       "      <td>16</td>\n",
       "      <td>女</td>\n",
       "      <td>3.44</td>\n",
       "      <td>9.97</td>\n",
       "      <td>160.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>3437.0</td>\n",
       "      <td>159.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>76</td>\n",
       "      <td>72.0</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>567</th>\n",
       "      <td>16</td>\n",
       "      <td>女</td>\n",
       "      <td>5.17</td>\n",
       "      <td>11.77</td>\n",
       "      <td>130.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>3447.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>70</td>\n",
       "      <td>70.0</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>568</th>\n",
       "      <td>16</td>\n",
       "      <td>女</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>569</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>3.31</td>\n",
       "      <td>9.44</td>\n",
       "      <td>180.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>1923.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>43.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>72</td>\n",
       "      <td>100.0</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>570</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>0.00</td>\n",
       "      <td>9.21</td>\n",
       "      <td>176.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>2091.0</td>\n",
       "      <td>158.0</td>\n",
       "      <td>52.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>72</td>\n",
       "      <td>78.0</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>571</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>3.56</td>\n",
       "      <td>10.53</td>\n",
       "      <td>162.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>1918.0</td>\n",
       "      <td>155.0</td>\n",
       "      <td>45.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>76</td>\n",
       "      <td>85.0</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>572</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>3.37</td>\n",
       "      <td>10.08</td>\n",
       "      <td>179.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>2300.0</td>\n",
       "      <td>154.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>74</td>\n",
       "      <td>85.0</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>573</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>4.54</td>\n",
       "      <td>11.14</td>\n",
       "      <td>140.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>2453.0</td>\n",
       "      <td>162.0</td>\n",
       "      <td>52.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>74</td>\n",
       "      <td>76.0</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>574</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>3.44</td>\n",
       "      <td>9.83</td>\n",
       "      <td>168.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>3571.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>59.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>90</td>\n",
       "      <td>68.0</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>575</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>4.25</td>\n",
       "      <td>10.00</td>\n",
       "      <td>150.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>2489.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>65.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>76</td>\n",
       "      <td>74.0</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>576</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>4.23</td>\n",
       "      <td>10.00</td>\n",
       "      <td>170.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>2528.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>52.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>100</td>\n",
       "      <td>74.0</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>577</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>3.55</td>\n",
       "      <td>10.13</td>\n",
       "      <td>162.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>2625.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>61.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>76</td>\n",
       "      <td>80.0</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>578</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>4.05</td>\n",
       "      <td>10.20</td>\n",
       "      <td>160.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>2654.0</td>\n",
       "      <td>149.0</td>\n",
       "      <td>46.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>80</td>\n",
       "      <td>85.0</td>\n",
       "      <td>78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>579</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>4.10</td>\n",
       "      <td>10.15</td>\n",
       "      <td>162.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>2839.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>60</td>\n",
       "      <td>76.0</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>580</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>3.25</td>\n",
       "      <td>10.46</td>\n",
       "      <td>160.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>1924.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>51.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>72</td>\n",
       "      <td>76.0</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>581</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>4.02</td>\n",
       "      <td>9.82</td>\n",
       "      <td>165.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>2741.0</td>\n",
       "      <td>167.0</td>\n",
       "      <td>58.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>72</td>\n",
       "      <td>74.0</td>\n",
       "      <td>78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>582</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>3.25</td>\n",
       "      <td>9.28</td>\n",
       "      <td>167.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>1838.0</td>\n",
       "      <td>172.0</td>\n",
       "      <td>51.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>70</td>\n",
       "      <td>85.0</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>583</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>3.56</td>\n",
       "      <td>11.03</td>\n",
       "      <td>162.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>42.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>70</td>\n",
       "      <td>74.0</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>584</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>3.54</td>\n",
       "      <td>9.16</td>\n",
       "      <td>182.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>1881.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>56.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>95</td>\n",
       "      <td>78.0</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>585</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>3.37</td>\n",
       "      <td>9.22</td>\n",
       "      <td>175.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>2167.0</td>\n",
       "      <td>158.0</td>\n",
       "      <td>50.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>70</td>\n",
       "      <td>85.0</td>\n",
       "      <td>68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>586</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>0.00</td>\n",
       "      <td>11.15</td>\n",
       "      <td>149.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>2498.0</td>\n",
       "      <td>158.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>100</td>\n",
       "      <td>90.0</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>587</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>3.46</td>\n",
       "      <td>9.60</td>\n",
       "      <td>170.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>2824.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>59.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>62</td>\n",
       "      <td>78.0</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>588</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>3.51</td>\n",
       "      <td>9.60</td>\n",
       "      <td>150.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>2255.0</td>\n",
       "      <td>158.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>95</td>\n",
       "      <td>78.0</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>589</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>4.00</td>\n",
       "      <td>10.18</td>\n",
       "      <td>150.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>2937.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>55.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>72</td>\n",
       "      <td>72.0</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>590</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>3.45</td>\n",
       "      <td>10.18</td>\n",
       "      <td>152.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>2592.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>48.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>76</td>\n",
       "      <td>72.0</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>591</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>4.01</td>\n",
       "      <td>9.67</td>\n",
       "      <td>165.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>1829.0</td>\n",
       "      <td>154.0</td>\n",
       "      <td>43.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>68</td>\n",
       "      <td>78.0</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>592</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>4.48</td>\n",
       "      <td>9.09</td>\n",
       "      <td>180.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>2962.0</td>\n",
       "      <td>162.0</td>\n",
       "      <td>55.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>68</td>\n",
       "      <td>85.0</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>593 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     班级 性别  女800米跑  女50米跑    女跳远  女体前屈   女仰卧    女肺活量     身高    体重  BMI  \\\n",
       "0     1  女    3.22   9.32  185.0  16.0  48.0  3775.0  163.0  51.3  0.0   \n",
       "1     1  女    4.59  11.44  148.0   9.0  29.0  3683.0  163.0  66.6  0.0   \n",
       "2     1  女    3.46  13.40  150.0   7.0  40.0  3331.0  157.0  60.0  0.0   \n",
       "3     1  女    3.39   9.52  172.0  21.0  46.0  3701.0  160.0  50.7  0.0   \n",
       "4     1  女    3.43   9.79  145.0   8.0  34.0  3592.0  167.0  63.9  0.0   \n",
       "5     1  女    3.47  10.01  158.0  17.0  35.0  3483.0  170.0  47.0  0.0   \n",
       "6     1  女    4.69  10.42  150.0  18.0  32.0  3754.0  158.0  54.0  0.0   \n",
       "7     1  女    4.26  10.03  165.0  16.0  35.0  4520.0  160.0  48.5  0.0   \n",
       "8     1  女    3.48  10.59  159.0   8.0  46.0  3662.0  160.0  42.0  0.0   \n",
       "9     1  女    4.18  10.30  161.0  22.0  42.0  3955.0  171.0  62.2  0.0   \n",
       "10    1  女    3.38   9.37  162.0  15.0  43.0  4374.0  157.0  56.0  0.0   \n",
       "11    1  女    4.11  10.68  150.0  15.0  45.0  4488.0  175.0  53.2  0.0   \n",
       "12    1  女    3.45   9.74  168.0  21.0  35.0  4176.0  164.0  49.5  0.0   \n",
       "13    1  女    3.59  10.83  140.0   6.0  41.0  3497.0  159.0  52.0  0.0   \n",
       "14    1  女    3.32  10.25  167.0  19.0  31.0  4094.0  165.0  56.7  0.0   \n",
       "15    1  女    3.40  10.25  152.0  21.0  43.0  3403.0  156.0  50.9  0.0   \n",
       "16    1  女    3.58   9.85  160.0  14.0  29.0  4433.0  172.0  77.6  0.0   \n",
       "17    1  女    3.36   9.41  182.0  24.0  30.0  4520.0  167.0  61.6  0.0   \n",
       "18    1  女    3.48   9.44  176.0  17.0  43.0  4209.0  157.0  57.1  0.0   \n",
       "19    1  女    3.24   9.07  185.0  22.0  33.0  2887.0  167.0  52.0  0.0   \n",
       "20    1  女    3.48  10.00  160.0  18.0  30.0  3016.0  157.0  55.7  0.0   \n",
       "21    1  女    4.09  10.00  172.0   8.0  42.0  3949.0  172.0  57.8  0.0   \n",
       "22    1  女    3.30   9.74  155.0  10.0  35.0  3574.0  155.0  52.2  0.0   \n",
       "23    1  女    3.35   9.74  180.0  19.0  33.0  3285.0  161.0  51.3  0.0   \n",
       "24    1  女    4.03  10.80  151.0  11.0  40.0  3503.0  162.0  50.6  0.0   \n",
       "25    1  女    3.40   9.95  168.0  15.0  41.0  4586.0  166.0  53.3  0.0   \n",
       "26    1  女    3.58   9.68  186.0  21.0  40.0  3942.0  161.0  51.3  0.0   \n",
       "27    1  女    3.49   8.77  185.0  19.0  40.0  3171.0  160.0  46.7  0.0   \n",
       "28    2  女    0.00  10.10  150.0  30.0  28.0  2673.0  169.0  61.0  0.0   \n",
       "29    2  女    4.19   9.90  151.0  20.0  32.0  3410.0  165.0  65.6  0.0   \n",
       "..   .. ..     ...    ...    ...   ...   ...     ...    ...   ...  ...   \n",
       "563  16  女    4.12  10.09  162.0  15.0  48.0  2802.0  161.0  54.0  0.0   \n",
       "564  16  女    3.36   9.35  182.0  15.0  40.0  2390.0  165.0  53.0  0.0   \n",
       "565  16  女    4.01   9.97  156.0  12.0  40.0  2668.0  167.0  51.1  0.0   \n",
       "566  16  女    3.44   9.97  160.0  15.0  35.0  3437.0  159.0  58.0  0.0   \n",
       "567  16  女    5.17  11.77  130.0  12.0  33.0  3447.0  163.0  76.0  0.0   \n",
       "568  16  女    0.00   0.00    0.0   0.0   0.0     0.0    0.0   0.0  0.0   \n",
       "569  17  女    3.31   9.44  180.0  13.0  58.0  1923.0  165.0  43.8  0.0   \n",
       "570  17  女    0.00   9.21  176.0  13.0  41.0  2091.0  158.0  52.5  0.0   \n",
       "571  17  女    3.56  10.53  162.0  16.0  48.0  1918.0  155.0  45.7  0.0   \n",
       "572  17  女    3.37  10.08  179.0  14.0  48.0  2300.0  154.0  45.0  0.0   \n",
       "573  17  女    4.54  11.14  140.0  14.0  39.0  2453.0  162.0  52.1  0.0   \n",
       "574  17  女    3.44   9.83  168.0  22.0  32.0  3571.0  165.0  59.3  0.0   \n",
       "575  17  女    4.25  10.00  150.0  15.0  38.0  2489.0  161.0  65.3  0.0   \n",
       "576  17  女    4.23  10.00  170.0  26.0  38.0  2528.0  161.0  52.2  0.0   \n",
       "577  17  女    3.55  10.13  162.0  16.0  43.0  2625.0  156.0  61.4  0.0   \n",
       "578  17  女    4.05  10.20  160.0  18.0  47.0  2654.0  149.0  46.2  0.0   \n",
       "579  17  女    4.10  10.15  162.0   5.0  40.0  2839.0  161.0  59.0  0.0   \n",
       "580  17  女    3.25  10.46  160.0  13.0  40.0  1924.0  156.0  51.1  0.0   \n",
       "581  17  女    4.02   9.82  165.0  13.0  38.0  2741.0  167.0  58.2  0.0   \n",
       "582  17  女    3.25   9.28  167.0  11.0  47.0  1838.0  172.0  51.7  0.0   \n",
       "583  17  女    3.56  11.03  162.0  11.0  37.0  2008.0  160.0  42.2  0.0   \n",
       "584  17  女    3.54   9.16  182.0  23.0  41.0  1881.0  160.0  56.8  0.0   \n",
       "585  17  女    3.37   9.22  175.0  11.0  46.0  2167.0  158.0  50.5  0.0   \n",
       "586  17  女    0.00  11.15  149.0  28.0  50.0  2498.0  158.0  48.0  0.0   \n",
       "587  17  女    3.46   9.60  170.0   6.0  41.0  2824.0  163.0  59.5  0.0   \n",
       "588  17  女    3.51   9.60  150.0  24.0  41.0  2255.0  158.0  49.0  0.0   \n",
       "589  17  女    4.00  10.18  150.0  13.0  36.0  2937.0  161.0  55.7  0.0   \n",
       "590  17  女    3.45  10.18  152.0  15.0  35.0  2592.0  165.0  48.6  0.0   \n",
       "591  17  女    4.01   9.67  165.0  10.0  41.0  1829.0  154.0  43.6  0.0   \n",
       "592  17  女    4.48   9.09  180.0  10.0  46.0  2962.0  162.0  55.3  0.0   \n",
       "\n",
       "     女800米跑分数  女50米跑分数  女跳远分数  女体前屈分数  女仰卧分数  女肺活量分数  \n",
       "0       100.0     72.0   85.0      76   85.0     100  \n",
       "1        40.0     10.0   60.0      66   66.0     100  \n",
       "2        80.0      NaN   60.0      64   76.0     100  \n",
       "3        85.0     70.0   76.0      90   85.0     100  \n",
       "4        85.0     68.0   50.0      64   70.0     100  \n",
       "5        80.0     64.0   66.0      78   72.0     100  \n",
       "6        40.0     60.0   60.0      80   68.0     100  \n",
       "7        64.0     64.0   70.0      76   72.0     100  \n",
       "8        80.0     60.0   66.0      64   85.0     100  \n",
       "9        68.0     62.0   68.0      90   78.0     100  \n",
       "10       85.0     72.0   68.0      76   80.0     100  \n",
       "11       70.0     50.0   60.0      76   80.0     100  \n",
       "12       80.0     68.0   72.0      90   72.0     100  \n",
       "13       76.0     40.0   40.0      62   78.0     100  \n",
       "14       90.0     62.0   72.0      80   68.0     100  \n",
       "15       85.0     62.0   62.0      90   80.0     100  \n",
       "16       76.0     66.0   68.0      74   66.0     100  \n",
       "17       90.0     70.0   80.0      95   66.0     100  \n",
       "18       80.0     70.0   78.0      78   80.0     100  \n",
       "19      100.0     74.0   85.0      90   70.0      80  \n",
       "20       80.0     66.0   68.0      80   66.0      85  \n",
       "21       72.0     66.0   76.0      64   78.0     100  \n",
       "22       95.0     68.0   64.0      68   72.0     100  \n",
       "23       90.0     68.0   80.0      80   70.0     100  \n",
       "24       74.0     50.0   62.0      70   76.0     100  \n",
       "25       85.0     66.0   72.0      76   78.0     100  \n",
       "26       76.0     68.0   85.0      90   76.0     100  \n",
       "27       80.0     78.0   85.0      80   76.0     100  \n",
       "28        0.0     64.0   60.0     100   64.0      78  \n",
       "29       68.0     66.0   62.0      85   68.0     100  \n",
       "..        ...      ...    ...     ...    ...     ...  \n",
       "563      70.0     64.0   68.0      76   85.0      80  \n",
       "564      90.0     72.0   80.0      76   76.0      72  \n",
       "565      74.0     66.0   64.0      70   76.0      78  \n",
       "566      80.0     66.0   68.0      76   72.0     100  \n",
       "567      20.0      NaN   20.0      70   70.0     100  \n",
       "568       0.0      0.0    0.0       0    0.0       0  \n",
       "569      90.0     70.0   80.0      72  100.0      62  \n",
       "570       0.0     72.0   78.0      72   78.0      66  \n",
       "571      76.0     60.0   68.0      76   85.0      62  \n",
       "572      85.0     64.0   80.0      74   85.0      70  \n",
       "573      40.0     30.0   40.0      74   76.0      74  \n",
       "574      80.0     66.0   72.0      90   68.0     100  \n",
       "575      66.0     66.0   60.0      76   74.0      74  \n",
       "576      66.0     66.0   74.0     100   74.0      74  \n",
       "577      78.0     64.0   68.0      76   80.0      76  \n",
       "578      74.0     64.0   68.0      80   85.0      78  \n",
       "579      72.0     64.0   68.0      60   76.0      80  \n",
       "580      95.0     60.0   68.0      72   76.0      62  \n",
       "581      74.0     66.0   70.0      72   74.0      78  \n",
       "582      95.0     72.0   72.0      70   85.0      60  \n",
       "583      76.0     30.0   68.0      70   74.0      64  \n",
       "584      78.0     74.0   80.0      95   78.0      62  \n",
       "585      85.0     72.0   78.0      70   85.0      68  \n",
       "586       0.0     30.0   60.0     100   90.0      74  \n",
       "587      80.0     70.0   74.0      62   78.0      80  \n",
       "588      78.0     70.0   60.0      95   78.0      70  \n",
       "589      76.0     64.0   60.0      72   72.0      85  \n",
       "590      80.0     64.0   62.0      76   72.0      76  \n",
       "591      74.0     68.0   70.0      68   78.0      60  \n",
       "592      50.0     74.0   80.0      68   85.0      85  \n",
       "\n",
       "[593 rows x 17 columns]"
      ]
     },
     "execution_count": 226,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#女生所有项目转换为相应分数，跑步类（越小越好）；跳远、体前屈（越大越好）\n",
    "for i in df_female_cp.columns[2:8]:\n",
    "    if '跑' in i:\n",
    "        convert_asc = convert_asc1(i)\n",
    "        df_female_cp[i+'分数'] = df_female_cp[i].map(convert_asc)\n",
    "    else:\n",
    "        convert_desc = convert_desc1(i)\n",
    "        df_female_cp[i+'分数'] = df_female_cp[i].map(convert_desc)\n",
    "df_female_cp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "id": "fuzzy-curve",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1, 2)"
      ]
     },
     "execution_count": 145,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def func1(x):\n",
    "    def func2(y):\n",
    "        return x,y\n",
    "    return func2\n",
    "\n",
    "func = func1(1)\n",
    "func(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 220,
   "id": "processed-stereo",
   "metadata": {},
   "outputs": [
    {
     "ename": "IndexError",
     "evalue": "indices are out-of-bounds",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mIndexError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-220-9024ee79a1f7>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[0mdf_male_cp_rank\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mdf_male_cp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mreindex\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msorted\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdf_male_cp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;31m#按照列名进行排序\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[0mran\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;36m3\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m4\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m17\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;31m#重排，进行微调\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[0mdf_male_cp_rank\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtake\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mran\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0maxis\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32md:\\python3.7.3\\lib\\site-packages\\pandas\\core\\generic.py\u001b[0m in \u001b[0;36mtake\u001b[1;34m(self, indices, axis, convert, is_copy, **kwargs)\u001b[0m\n\u001b[0;32m   3457\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3458\u001b[0m         \u001b[0mnv\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mvalidate_take\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtuple\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3459\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_take\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mindices\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0maxis\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mis_copy\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mis_copy\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   3460\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3461\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mxs\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlevel\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mNone\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdrop_level\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32md:\\python3.7.3\\lib\\site-packages\\pandas\\core\\generic.py\u001b[0m in \u001b[0;36m_take\u001b[1;34m(self, indices, axis, is_copy)\u001b[0m\n\u001b[0;32m   3357\u001b[0m         new_data = self._data.take(indices,\n\u001b[0;32m   3358\u001b[0m                                    \u001b[0maxis\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_get_block_manager_axis\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0maxis\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3359\u001b[1;33m                                    verify=True)\n\u001b[0m\u001b[0;32m   3360\u001b[0m         \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_constructor\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnew_data\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__finalize__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3361\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32md:\\python3.7.3\\lib\\site-packages\\pandas\\core\\internals\\managers.py\u001b[0m in \u001b[0;36mtake\u001b[1;34m(self, indexer, axis, verify, convert)\u001b[0m\n\u001b[0;32m   1339\u001b[0m         \u001b[0mn\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0maxis\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1340\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mconvert\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1341\u001b[1;33m             \u001b[0mindexer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mmaybe_convert_indices\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mindexer\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mn\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1342\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1343\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mverify\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32md:\\python3.7.3\\lib\\site-packages\\pandas\\core\\indexing.py\u001b[0m in \u001b[0;36mmaybe_convert_indices\u001b[1;34m(indices, n)\u001b[0m\n\u001b[0;32m   2613\u001b[0m     \u001b[0mmask\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mindices\u001b[0m \u001b[1;33m>=\u001b[0m \u001b[0mn\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m|\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mindices\u001b[0m \u001b[1;33m<\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2614\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mmask\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0many\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2615\u001b[1;33m         \u001b[1;32mraise\u001b[0m \u001b[0mIndexError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"indices are out-of-bounds\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   2616\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0mindices\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2617\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mIndexError\u001b[0m: indices are out-of-bounds"
     ]
    }
   ],
   "source": [
    "df_male_cp_rank = df_male_cp.reindex(sorted(df_male_cp.columns), axis=1)#按照列名进行排序\n",
    "ran = [3,2]+[i for i in range(4,17)]+[0,1] #重排，进行微调\n",
    "df_male_cp_rank.take(ran,axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 233,
   "id": "surface-penny",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>班级</th>\n",
       "      <th>性别</th>\n",
       "      <th>女50米跑</th>\n",
       "      <th>女50米跑分数</th>\n",
       "      <th>女800米跑</th>\n",
       "      <th>女800米跑分数</th>\n",
       "      <th>女仰卧</th>\n",
       "      <th>女仰卧分数</th>\n",
       "      <th>女体前屈</th>\n",
       "      <th>女体前屈分数</th>\n",
       "      <th>女肺活量</th>\n",
       "      <th>女肺活量分数</th>\n",
       "      <th>女跳远</th>\n",
       "      <th>女跳远分数</th>\n",
       "      <th>BMI</th>\n",
       "      <th>体重</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>9.32</td>\n",
       "      <td>72.0</td>\n",
       "      <td>3.22</td>\n",
       "      <td>100.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>76</td>\n",
       "      <td>3775.0</td>\n",
       "      <td>100</td>\n",
       "      <td>185.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>51.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>11.44</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4.59</td>\n",
       "      <td>40.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>66</td>\n",
       "      <td>3683.0</td>\n",
       "      <td>100</td>\n",
       "      <td>148.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>66.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>13.40</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.46</td>\n",
       "      <td>80.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>64</td>\n",
       "      <td>3331.0</td>\n",
       "      <td>100</td>\n",
       "      <td>150.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>60.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>9.52</td>\n",
       "      <td>70.0</td>\n",
       "      <td>3.39</td>\n",
       "      <td>85.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>90</td>\n",
       "      <td>3701.0</td>\n",
       "      <td>100</td>\n",
       "      <td>172.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>50.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>9.79</td>\n",
       "      <td>68.0</td>\n",
       "      <td>3.43</td>\n",
       "      <td>85.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>64</td>\n",
       "      <td>3592.0</td>\n",
       "      <td>100</td>\n",
       "      <td>145.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>63.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>10.01</td>\n",
       "      <td>64.0</td>\n",
       "      <td>3.47</td>\n",
       "      <td>80.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>78</td>\n",
       "      <td>3483.0</td>\n",
       "      <td>100</td>\n",
       "      <td>158.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>47.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>10.42</td>\n",
       "      <td>60.0</td>\n",
       "      <td>4.69</td>\n",
       "      <td>40.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>80</td>\n",
       "      <td>3754.0</td>\n",
       "      <td>100</td>\n",
       "      <td>150.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>54.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>10.03</td>\n",
       "      <td>64.0</td>\n",
       "      <td>4.26</td>\n",
       "      <td>64.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>76</td>\n",
       "      <td>4520.0</td>\n",
       "      <td>100</td>\n",
       "      <td>165.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>48.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>10.59</td>\n",
       "      <td>60.0</td>\n",
       "      <td>3.48</td>\n",
       "      <td>80.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>64</td>\n",
       "      <td>3662.0</td>\n",
       "      <td>100</td>\n",
       "      <td>159.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>42.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>10.30</td>\n",
       "      <td>62.0</td>\n",
       "      <td>4.18</td>\n",
       "      <td>68.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>90</td>\n",
       "      <td>3955.0</td>\n",
       "      <td>100</td>\n",
       "      <td>161.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>62.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>9.37</td>\n",
       "      <td>72.0</td>\n",
       "      <td>3.38</td>\n",
       "      <td>85.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>76</td>\n",
       "      <td>4374.0</td>\n",
       "      <td>100</td>\n",
       "      <td>162.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>56.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>10.68</td>\n",
       "      <td>50.0</td>\n",
       "      <td>4.11</td>\n",
       "      <td>70.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>76</td>\n",
       "      <td>4488.0</td>\n",
       "      <td>100</td>\n",
       "      <td>150.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>53.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>9.74</td>\n",
       "      <td>68.0</td>\n",
       "      <td>3.45</td>\n",
       "      <td>80.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>90</td>\n",
       "      <td>4176.0</td>\n",
       "      <td>100</td>\n",
       "      <td>168.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>49.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>10.83</td>\n",
       "      <td>40.0</td>\n",
       "      <td>3.59</td>\n",
       "      <td>76.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>62</td>\n",
       "      <td>3497.0</td>\n",
       "      <td>100</td>\n",
       "      <td>140.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>52.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>10.25</td>\n",
       "      <td>62.0</td>\n",
       "      <td>3.32</td>\n",
       "      <td>90.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>80</td>\n",
       "      <td>4094.0</td>\n",
       "      <td>100</td>\n",
       "      <td>167.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>56.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>10.25</td>\n",
       "      <td>62.0</td>\n",
       "      <td>3.40</td>\n",
       "      <td>85.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>90</td>\n",
       "      <td>3403.0</td>\n",
       "      <td>100</td>\n",
       "      <td>152.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>50.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>9.85</td>\n",
       "      <td>66.0</td>\n",
       "      <td>3.58</td>\n",
       "      <td>76.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>74</td>\n",
       "      <td>4433.0</td>\n",
       "      <td>100</td>\n",
       "      <td>160.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>77.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>9.41</td>\n",
       "      <td>70.0</td>\n",
       "      <td>3.36</td>\n",
       "      <td>90.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>95</td>\n",
       "      <td>4520.0</td>\n",
       "      <td>100</td>\n",
       "      <td>182.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>61.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>9.44</td>\n",
       "      <td>70.0</td>\n",
       "      <td>3.48</td>\n",
       "      <td>80.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>78</td>\n",
       "      <td>4209.0</td>\n",
       "      <td>100</td>\n",
       "      <td>176.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>57.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>9.07</td>\n",
       "      <td>74.0</td>\n",
       "      <td>3.24</td>\n",
       "      <td>100.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>90</td>\n",
       "      <td>2887.0</td>\n",
       "      <td>80</td>\n",
       "      <td>185.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>52.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>10.00</td>\n",
       "      <td>66.0</td>\n",
       "      <td>3.48</td>\n",
       "      <td>80.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>80</td>\n",
       "      <td>3016.0</td>\n",
       "      <td>85</td>\n",
       "      <td>160.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>55.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>10.00</td>\n",
       "      <td>66.0</td>\n",
       "      <td>4.09</td>\n",
       "      <td>72.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>64</td>\n",
       "      <td>3949.0</td>\n",
       "      <td>100</td>\n",
       "      <td>172.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>57.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>9.74</td>\n",
       "      <td>68.0</td>\n",
       "      <td>3.30</td>\n",
       "      <td>95.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>68</td>\n",
       "      <td>3574.0</td>\n",
       "      <td>100</td>\n",
       "      <td>155.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>52.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>9.74</td>\n",
       "      <td>68.0</td>\n",
       "      <td>3.35</td>\n",
       "      <td>90.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>80</td>\n",
       "      <td>3285.0</td>\n",
       "      <td>100</td>\n",
       "      <td>180.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>51.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>10.80</td>\n",
       "      <td>50.0</td>\n",
       "      <td>4.03</td>\n",
       "      <td>74.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>70</td>\n",
       "      <td>3503.0</td>\n",
       "      <td>100</td>\n",
       "      <td>151.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>50.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>9.95</td>\n",
       "      <td>66.0</td>\n",
       "      <td>3.40</td>\n",
       "      <td>85.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>76</td>\n",
       "      <td>4586.0</td>\n",
       "      <td>100</td>\n",
       "      <td>168.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>53.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>9.68</td>\n",
       "      <td>68.0</td>\n",
       "      <td>3.58</td>\n",
       "      <td>76.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>90</td>\n",
       "      <td>3942.0</td>\n",
       "      <td>100</td>\n",
       "      <td>186.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>51.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>8.77</td>\n",
       "      <td>78.0</td>\n",
       "      <td>3.49</td>\n",
       "      <td>80.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>80</td>\n",
       "      <td>3171.0</td>\n",
       "      <td>100</td>\n",
       "      <td>185.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>46.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2</td>\n",
       "      <td>女</td>\n",
       "      <td>10.10</td>\n",
       "      <td>64.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>100</td>\n",
       "      <td>2673.0</td>\n",
       "      <td>78</td>\n",
       "      <td>150.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>61.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2</td>\n",
       "      <td>女</td>\n",
       "      <td>9.90</td>\n",
       "      <td>66.0</td>\n",
       "      <td>4.19</td>\n",
       "      <td>68.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>85</td>\n",
       "      <td>3410.0</td>\n",
       "      <td>100</td>\n",
       "      <td>151.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>65.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>563</th>\n",
       "      <td>16</td>\n",
       "      <td>女</td>\n",
       "      <td>10.09</td>\n",
       "      <td>64.0</td>\n",
       "      <td>4.12</td>\n",
       "      <td>70.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>76</td>\n",
       "      <td>2802.0</td>\n",
       "      <td>80</td>\n",
       "      <td>162.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>54.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564</th>\n",
       "      <td>16</td>\n",
       "      <td>女</td>\n",
       "      <td>9.35</td>\n",
       "      <td>72.0</td>\n",
       "      <td>3.36</td>\n",
       "      <td>90.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>76</td>\n",
       "      <td>2390.0</td>\n",
       "      <td>72</td>\n",
       "      <td>182.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>53.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>565</th>\n",
       "      <td>16</td>\n",
       "      <td>女</td>\n",
       "      <td>9.97</td>\n",
       "      <td>66.0</td>\n",
       "      <td>4.01</td>\n",
       "      <td>74.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>70</td>\n",
       "      <td>2668.0</td>\n",
       "      <td>78</td>\n",
       "      <td>156.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>51.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>566</th>\n",
       "      <td>16</td>\n",
       "      <td>女</td>\n",
       "      <td>9.97</td>\n",
       "      <td>66.0</td>\n",
       "      <td>3.44</td>\n",
       "      <td>80.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>76</td>\n",
       "      <td>3437.0</td>\n",
       "      <td>100</td>\n",
       "      <td>160.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>58.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>567</th>\n",
       "      <td>16</td>\n",
       "      <td>女</td>\n",
       "      <td>11.77</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.17</td>\n",
       "      <td>20.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>70</td>\n",
       "      <td>3447.0</td>\n",
       "      <td>100</td>\n",
       "      <td>130.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>76.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>568</th>\n",
       "      <td>16</td>\n",
       "      <td>女</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>569</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>9.44</td>\n",
       "      <td>70.0</td>\n",
       "      <td>3.31</td>\n",
       "      <td>90.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>72</td>\n",
       "      <td>1923.0</td>\n",
       "      <td>62</td>\n",
       "      <td>180.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>43.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>570</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>9.21</td>\n",
       "      <td>72.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>72</td>\n",
       "      <td>2091.0</td>\n",
       "      <td>66</td>\n",
       "      <td>176.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>52.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>571</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>10.53</td>\n",
       "      <td>60.0</td>\n",
       "      <td>3.56</td>\n",
       "      <td>76.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>76</td>\n",
       "      <td>1918.0</td>\n",
       "      <td>62</td>\n",
       "      <td>162.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>45.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>572</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>10.08</td>\n",
       "      <td>64.0</td>\n",
       "      <td>3.37</td>\n",
       "      <td>85.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>74</td>\n",
       "      <td>2300.0</td>\n",
       "      <td>70</td>\n",
       "      <td>179.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>45.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>573</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>11.14</td>\n",
       "      <td>30.0</td>\n",
       "      <td>4.54</td>\n",
       "      <td>40.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>74</td>\n",
       "      <td>2453.0</td>\n",
       "      <td>74</td>\n",
       "      <td>140.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>52.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>574</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>9.83</td>\n",
       "      <td>66.0</td>\n",
       "      <td>3.44</td>\n",
       "      <td>80.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>90</td>\n",
       "      <td>3571.0</td>\n",
       "      <td>100</td>\n",
       "      <td>168.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>59.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>575</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>10.00</td>\n",
       "      <td>66.0</td>\n",
       "      <td>4.25</td>\n",
       "      <td>66.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>76</td>\n",
       "      <td>2489.0</td>\n",
       "      <td>74</td>\n",
       "      <td>150.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>65.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>576</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>10.00</td>\n",
       "      <td>66.0</td>\n",
       "      <td>4.23</td>\n",
       "      <td>66.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>100</td>\n",
       "      <td>2528.0</td>\n",
       "      <td>74</td>\n",
       "      <td>170.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>52.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>577</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>10.13</td>\n",
       "      <td>64.0</td>\n",
       "      <td>3.55</td>\n",
       "      <td>78.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>76</td>\n",
       "      <td>2625.0</td>\n",
       "      <td>76</td>\n",
       "      <td>162.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>61.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>578</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>10.20</td>\n",
       "      <td>64.0</td>\n",
       "      <td>4.05</td>\n",
       "      <td>74.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>80</td>\n",
       "      <td>2654.0</td>\n",
       "      <td>78</td>\n",
       "      <td>160.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>46.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>579</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>10.15</td>\n",
       "      <td>64.0</td>\n",
       "      <td>4.10</td>\n",
       "      <td>72.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2839.0</td>\n",
       "      <td>80</td>\n",
       "      <td>162.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>59.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>580</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>10.46</td>\n",
       "      <td>60.0</td>\n",
       "      <td>3.25</td>\n",
       "      <td>95.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>72</td>\n",
       "      <td>1924.0</td>\n",
       "      <td>62</td>\n",
       "      <td>160.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>51.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>581</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>9.82</td>\n",
       "      <td>66.0</td>\n",
       "      <td>4.02</td>\n",
       "      <td>74.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>72</td>\n",
       "      <td>2741.0</td>\n",
       "      <td>78</td>\n",
       "      <td>165.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>58.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>582</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>9.28</td>\n",
       "      <td>72.0</td>\n",
       "      <td>3.25</td>\n",
       "      <td>95.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>70</td>\n",
       "      <td>1838.0</td>\n",
       "      <td>60</td>\n",
       "      <td>167.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>51.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>583</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>11.03</td>\n",
       "      <td>30.0</td>\n",
       "      <td>3.56</td>\n",
       "      <td>76.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>70</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>64</td>\n",
       "      <td>162.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>42.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>584</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>9.16</td>\n",
       "      <td>74.0</td>\n",
       "      <td>3.54</td>\n",
       "      <td>78.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>95</td>\n",
       "      <td>1881.0</td>\n",
       "      <td>62</td>\n",
       "      <td>182.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>56.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>585</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>9.22</td>\n",
       "      <td>72.0</td>\n",
       "      <td>3.37</td>\n",
       "      <td>85.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>70</td>\n",
       "      <td>2167.0</td>\n",
       "      <td>68</td>\n",
       "      <td>175.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>50.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>586</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>11.15</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>100</td>\n",
       "      <td>2498.0</td>\n",
       "      <td>74</td>\n",
       "      <td>149.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>48.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>587</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>9.60</td>\n",
       "      <td>70.0</td>\n",
       "      <td>3.46</td>\n",
       "      <td>80.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>62</td>\n",
       "      <td>2824.0</td>\n",
       "      <td>80</td>\n",
       "      <td>170.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>59.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>588</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>9.60</td>\n",
       "      <td>70.0</td>\n",
       "      <td>3.51</td>\n",
       "      <td>78.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>95</td>\n",
       "      <td>2255.0</td>\n",
       "      <td>70</td>\n",
       "      <td>150.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>49.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>589</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>10.18</td>\n",
       "      <td>64.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>76.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>72</td>\n",
       "      <td>2937.0</td>\n",
       "      <td>85</td>\n",
       "      <td>150.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>55.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>590</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>10.18</td>\n",
       "      <td>64.0</td>\n",
       "      <td>3.45</td>\n",
       "      <td>80.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>76</td>\n",
       "      <td>2592.0</td>\n",
       "      <td>76</td>\n",
       "      <td>152.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>48.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>591</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>9.67</td>\n",
       "      <td>68.0</td>\n",
       "      <td>4.01</td>\n",
       "      <td>74.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>68</td>\n",
       "      <td>1829.0</td>\n",
       "      <td>60</td>\n",
       "      <td>165.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>43.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>592</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>9.09</td>\n",
       "      <td>74.0</td>\n",
       "      <td>4.48</td>\n",
       "      <td>50.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>68</td>\n",
       "      <td>2962.0</td>\n",
       "      <td>85</td>\n",
       "      <td>180.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>55.3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>593 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     班级 性别  女50米跑  女50米跑分数  女800米跑  女800米跑分数   女仰卧  女仰卧分数  女体前屈  女体前屈分数  \\\n",
       "0     1  女   9.32     72.0    3.22     100.0  48.0   85.0  16.0      76   \n",
       "1     1  女  11.44     10.0    4.59      40.0  29.0   66.0   9.0      66   \n",
       "2     1  女  13.40      NaN    3.46      80.0  40.0   76.0   7.0      64   \n",
       "3     1  女   9.52     70.0    3.39      85.0  46.0   85.0  21.0      90   \n",
       "4     1  女   9.79     68.0    3.43      85.0  34.0   70.0   8.0      64   \n",
       "5     1  女  10.01     64.0    3.47      80.0  35.0   72.0  17.0      78   \n",
       "6     1  女  10.42     60.0    4.69      40.0  32.0   68.0  18.0      80   \n",
       "7     1  女  10.03     64.0    4.26      64.0  35.0   72.0  16.0      76   \n",
       "8     1  女  10.59     60.0    3.48      80.0  46.0   85.0   8.0      64   \n",
       "9     1  女  10.30     62.0    4.18      68.0  42.0   78.0  22.0      90   \n",
       "10    1  女   9.37     72.0    3.38      85.0  43.0   80.0  15.0      76   \n",
       "11    1  女  10.68     50.0    4.11      70.0  45.0   80.0  15.0      76   \n",
       "12    1  女   9.74     68.0    3.45      80.0  35.0   72.0  21.0      90   \n",
       "13    1  女  10.83     40.0    3.59      76.0  41.0   78.0   6.0      62   \n",
       "14    1  女  10.25     62.0    3.32      90.0  31.0   68.0  19.0      80   \n",
       "15    1  女  10.25     62.0    3.40      85.0  43.0   80.0  21.0      90   \n",
       "16    1  女   9.85     66.0    3.58      76.0  29.0   66.0  14.0      74   \n",
       "17    1  女   9.41     70.0    3.36      90.0  30.0   66.0  24.0      95   \n",
       "18    1  女   9.44     70.0    3.48      80.0  43.0   80.0  17.0      78   \n",
       "19    1  女   9.07     74.0    3.24     100.0  33.0   70.0  22.0      90   \n",
       "20    1  女  10.00     66.0    3.48      80.0  30.0   66.0  18.0      80   \n",
       "21    1  女  10.00     66.0    4.09      72.0  42.0   78.0   8.0      64   \n",
       "22    1  女   9.74     68.0    3.30      95.0  35.0   72.0  10.0      68   \n",
       "23    1  女   9.74     68.0    3.35      90.0  33.0   70.0  19.0      80   \n",
       "24    1  女  10.80     50.0    4.03      74.0  40.0   76.0  11.0      70   \n",
       "25    1  女   9.95     66.0    3.40      85.0  41.0   78.0  15.0      76   \n",
       "26    1  女   9.68     68.0    3.58      76.0  40.0   76.0  21.0      90   \n",
       "27    1  女   8.77     78.0    3.49      80.0  40.0   76.0  19.0      80   \n",
       "28    2  女  10.10     64.0    0.00       0.0  28.0   64.0  30.0     100   \n",
       "29    2  女   9.90     66.0    4.19      68.0  32.0   68.0  20.0      85   \n",
       "..   .. ..    ...      ...     ...       ...   ...    ...   ...     ...   \n",
       "563  16  女  10.09     64.0    4.12      70.0  48.0   85.0  15.0      76   \n",
       "564  16  女   9.35     72.0    3.36      90.0  40.0   76.0  15.0      76   \n",
       "565  16  女   9.97     66.0    4.01      74.0  40.0   76.0  12.0      70   \n",
       "566  16  女   9.97     66.0    3.44      80.0  35.0   72.0  15.0      76   \n",
       "567  16  女  11.77      NaN    5.17      20.0  33.0   70.0  12.0      70   \n",
       "568  16  女   0.00      0.0    0.00       0.0   0.0    0.0   0.0       0   \n",
       "569  17  女   9.44     70.0    3.31      90.0  58.0  100.0  13.0      72   \n",
       "570  17  女   9.21     72.0    0.00       0.0  41.0   78.0  13.0      72   \n",
       "571  17  女  10.53     60.0    3.56      76.0  48.0   85.0  16.0      76   \n",
       "572  17  女  10.08     64.0    3.37      85.0  48.0   85.0  14.0      74   \n",
       "573  17  女  11.14     30.0    4.54      40.0  39.0   76.0  14.0      74   \n",
       "574  17  女   9.83     66.0    3.44      80.0  32.0   68.0  22.0      90   \n",
       "575  17  女  10.00     66.0    4.25      66.0  38.0   74.0  15.0      76   \n",
       "576  17  女  10.00     66.0    4.23      66.0  38.0   74.0  26.0     100   \n",
       "577  17  女  10.13     64.0    3.55      78.0  43.0   80.0  16.0      76   \n",
       "578  17  女  10.20     64.0    4.05      74.0  47.0   85.0  18.0      80   \n",
       "579  17  女  10.15     64.0    4.10      72.0  40.0   76.0   5.0      60   \n",
       "580  17  女  10.46     60.0    3.25      95.0  40.0   76.0  13.0      72   \n",
       "581  17  女   9.82     66.0    4.02      74.0  38.0   74.0  13.0      72   \n",
       "582  17  女   9.28     72.0    3.25      95.0  47.0   85.0  11.0      70   \n",
       "583  17  女  11.03     30.0    3.56      76.0  37.0   74.0  11.0      70   \n",
       "584  17  女   9.16     74.0    3.54      78.0  41.0   78.0  23.0      95   \n",
       "585  17  女   9.22     72.0    3.37      85.0  46.0   85.0  11.0      70   \n",
       "586  17  女  11.15     30.0    0.00       0.0  50.0   90.0  28.0     100   \n",
       "587  17  女   9.60     70.0    3.46      80.0  41.0   78.0   6.0      62   \n",
       "588  17  女   9.60     70.0    3.51      78.0  41.0   78.0  24.0      95   \n",
       "589  17  女  10.18     64.0    4.00      76.0  36.0   72.0  13.0      72   \n",
       "590  17  女  10.18     64.0    3.45      80.0  35.0   72.0  15.0      76   \n",
       "591  17  女   9.67     68.0    4.01      74.0  41.0   78.0  10.0      68   \n",
       "592  17  女   9.09     74.0    4.48      50.0  46.0   85.0  10.0      68   \n",
       "\n",
       "       女肺活量  女肺活量分数    女跳远  女跳远分数  BMI    体重  \n",
       "0    3775.0     100  185.0   85.0  0.0  51.3  \n",
       "1    3683.0     100  148.0   60.0  0.0  66.6  \n",
       "2    3331.0     100  150.0   60.0  0.0  60.0  \n",
       "3    3701.0     100  172.0   76.0  0.0  50.7  \n",
       "4    3592.0     100  145.0   50.0  0.0  63.9  \n",
       "5    3483.0     100  158.0   66.0  0.0  47.0  \n",
       "6    3754.0     100  150.0   60.0  0.0  54.0  \n",
       "7    4520.0     100  165.0   70.0  0.0  48.5  \n",
       "8    3662.0     100  159.0   66.0  0.0  42.0  \n",
       "9    3955.0     100  161.0   68.0  0.0  62.2  \n",
       "10   4374.0     100  162.0   68.0  0.0  56.0  \n",
       "11   4488.0     100  150.0   60.0  0.0  53.2  \n",
       "12   4176.0     100  168.0   72.0  0.0  49.5  \n",
       "13   3497.0     100  140.0   40.0  0.0  52.0  \n",
       "14   4094.0     100  167.0   72.0  0.0  56.7  \n",
       "15   3403.0     100  152.0   62.0  0.0  50.9  \n",
       "16   4433.0     100  160.0   68.0  0.0  77.6  \n",
       "17   4520.0     100  182.0   80.0  0.0  61.6  \n",
       "18   4209.0     100  176.0   78.0  0.0  57.1  \n",
       "19   2887.0      80  185.0   85.0  0.0  52.0  \n",
       "20   3016.0      85  160.0   68.0  0.0  55.7  \n",
       "21   3949.0     100  172.0   76.0  0.0  57.8  \n",
       "22   3574.0     100  155.0   64.0  0.0  52.2  \n",
       "23   3285.0     100  180.0   80.0  0.0  51.3  \n",
       "24   3503.0     100  151.0   62.0  0.0  50.6  \n",
       "25   4586.0     100  168.0   72.0  0.0  53.3  \n",
       "26   3942.0     100  186.0   85.0  0.0  51.3  \n",
       "27   3171.0     100  185.0   85.0  0.0  46.7  \n",
       "28   2673.0      78  150.0   60.0  0.0  61.0  \n",
       "29   3410.0     100  151.0   62.0  0.0  65.6  \n",
       "..      ...     ...    ...    ...  ...   ...  \n",
       "563  2802.0      80  162.0   68.0  0.0  54.0  \n",
       "564  2390.0      72  182.0   80.0  0.0  53.0  \n",
       "565  2668.0      78  156.0   64.0  0.0  51.1  \n",
       "566  3437.0     100  160.0   68.0  0.0  58.0  \n",
       "567  3447.0     100  130.0   20.0  0.0  76.0  \n",
       "568     0.0       0    0.0    0.0  0.0   0.0  \n",
       "569  1923.0      62  180.0   80.0  0.0  43.8  \n",
       "570  2091.0      66  176.0   78.0  0.0  52.5  \n",
       "571  1918.0      62  162.0   68.0  0.0  45.7  \n",
       "572  2300.0      70  179.0   80.0  0.0  45.0  \n",
       "573  2453.0      74  140.0   40.0  0.0  52.1  \n",
       "574  3571.0     100  168.0   72.0  0.0  59.3  \n",
       "575  2489.0      74  150.0   60.0  0.0  65.3  \n",
       "576  2528.0      74  170.0   74.0  0.0  52.2  \n",
       "577  2625.0      76  162.0   68.0  0.0  61.4  \n",
       "578  2654.0      78  160.0   68.0  0.0  46.2  \n",
       "579  2839.0      80  162.0   68.0  0.0  59.0  \n",
       "580  1924.0      62  160.0   68.0  0.0  51.1  \n",
       "581  2741.0      78  165.0   70.0  0.0  58.2  \n",
       "582  1838.0      60  167.0   72.0  0.0  51.7  \n",
       "583  2008.0      64  162.0   68.0  0.0  42.2  \n",
       "584  1881.0      62  182.0   80.0  0.0  56.8  \n",
       "585  2167.0      68  175.0   78.0  0.0  50.5  \n",
       "586  2498.0      74  149.0   60.0  0.0  48.0  \n",
       "587  2824.0      80  170.0   74.0  0.0  59.5  \n",
       "588  2255.0      70  150.0   60.0  0.0  49.0  \n",
       "589  2937.0      85  150.0   60.0  0.0  55.7  \n",
       "590  2592.0      76  152.0   62.0  0.0  48.6  \n",
       "591  1829.0      60  165.0   70.0  0.0  43.6  \n",
       "592  2962.0      85  180.0   80.0  0.0  55.3  \n",
       "\n",
       "[593 rows x 16 columns]"
      ]
     },
     "execution_count": 233,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_female_cp_rank = df_female_cp.reindex(sorted(df_female_cp.columns), axis=1)#按照列名进行排序\n",
    "ran = [-2,-3] +[i for i in range(2,14)]+[0,1] #列索引重排\n",
    "df_female_cp_rank.take(ran,axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "little-genetics",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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